Algorithm Walk-Through¶

This notebook will walkthrough the preprocessing steps as well as the ML algorithm training procedure used for the multi-dimensional, multi-output data.

Experiment Overview¶

Code¶

Packages¶

import sys
sys.path.insert(0, "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/src")

# Standard packages
import numpy as np
import pandas as pd

# Datasets
from data.make_dataset import DataLoader, load_standard_data, load_high_dim_data, load_labels

# Features
from features.build_features import times_2_cycles, geo_2_cartesian, get_geodataframe, CycleTransform, GeoCartTransform
from features.pca_features import transform_all, transform_individual
from features.analysis import get_stats
from sklearn.preprocessing import StandardScaler

# ML Models
from sklearn.model_selection import train_test_split
from models.baseline import train_rf_model

# Visualization
from visualization.visualize import plot_mo_stats, plot_geolocations, get_depth_labels
from sklearn.inspection import permutation_importance
import matplotlib.pyplot as plt
plt.style.use('seaborn-poster')

%load_ext autoreload
%autoreload 2

The autoreload extension is already loaded. To reload it, use:
  %reload_ext autoreload

1 Load Data¶

1.1 Core Data¶

In this step, we will load the standard data. This includes the following variables:

SLA
PAR
RHO WN 412
RHO WN 443
RHO WN 490
RHO WN 555
RHO WN 670
MLD
Lat
Lon
DOY

X_core_na = load_standard_data('NA', training=True)
X_core_stg = load_standard_data('STG', training=True)

# convert dataframe into geopandas dataframe
X_core_na_gdf = get_geodataframe(X_core_na.copy())
X_core_na_stg = get_geodataframe(X_core_stg.copy())

# plot world map with points
colors = ['blue', 'red']
plot_geolocations([X_core_na_gdf, X_core_na_stg], colors=['blue', 'red'], save_name='both')

1.2 High Dimensional Data¶

In this section, we will extract the high dimensional datasets. They include:

Temperature
Density
Salinity
Spiciness

X_temp, X_dens, X_sal, X_spicy = load_high_dim_data('NA')

# add prefix
X_temp = X_temp.add_prefix('temp_')
X_dens = X_dens.add_prefix('dens_')
X_sal = X_sal.add_prefix('sal_')
X_spicy = X_spicy.add_prefix('spice_')

1.3 - Multi-Output Data¶

We load the multioutput regression labels.

y = load_labels('STG', training=True)

y_mu = y.mean(axis=0)
y_std = y.std(axis=0)

ylabels.shape, y_mu.shape

((276,), (276,))

ylabels = get_depth_labels()

fig, ax = plt.subplots(figsize=(7,5))
plt.plot(y_mu, ylabels, color='black', linewidth=5, label='bBP, $\mu$')
plt.fill_betweenx(ylabels, y_mu - y_std, y_mu + y_std, interpolate=False, alpha=0.5, color='gray', label='bBP, $\sigma$')
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.ticklabel_format(style='sci',scilimits=(-3,4),axis='both')
plt.legend(fontsize=25, loc='lower right')
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"stg_y" + ".png", dpi=200, transparent=True)

y = load_labels('STG', training=False)

y['wmo'].unique()

array([3902121, 6901472])

y_1.shape

(25, 276)

y_1 = y[y['wmo'] == 3902121].iloc[:, 2:]
y_2 = y[y['wmo'] == 6901472].iloc[:, 2:]

y1_mu, y2_mu = y_1.mean(axis=0), y_2.mean(axis=0)
y1_std, y2_std = y_1.std(axis=0), y_2.std(axis=0)

ylabels = get_depth_labels()

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"

fig, ax = plt.subplots(figsize=(7,5))
plt.plot(y1_mu, ylabels, color='black', linewidth=5, label='bBP$_1$, $\mu$')
plt.fill_betweenx(ylabels, y1_mu - y1_std, y1_mu + y1_std, interpolate=False, alpha=0.5, color='gray', label='bBP$_1$, $\sigma$')
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.ticklabel_format(style='sci',scilimits=(-3,4),axis='both')
plt.legend(fontsize=25, loc='lower right')
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"stg_y1" + ".png", dpi=200, transparent=True)

ylabels = get_depth_labels()

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"

fig, ax = plt.subplots(figsize=(7,5))
plt.plot(y2_mu, ylabels, color='black', linewidth=5, label='bBP$_2$, $\mu$')
plt.fill_betweenx(ylabels, y2_mu - y2_std, y2_mu + y2_std, interpolate=False, alpha=0.5, color='gray', label='bBP$_2$, $\sigma$')
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.ticklabel_format(style='sci',scilimits=(-3,4),axis='both')
plt.legend(fontsize=25, loc='lower right')
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"stg_y2" + ".png", dpi=200, transparent=True)

ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)

3 - Train,Test Split¶

We split the data into 80% training and 20% training.

Note: because the dataset we are dealing with is only ~3,000 data points, we will do some bootstrap techniques in the full experiment to see how well we do with different subsamples of data.

Xdf = pd.concat([
    X_core, 
    X_temp, 
#     X_dens, 
    X_sal, 
    X_spicy
], axis=1)

Xtr, Xte, ytr, yte =  train_test_split(
        Xdf, y,
        train_size=0.8, random_state=123
    )

4 - Post-Split Transformations¶

PCA Transform High Dimensional Variables

In this step, we do a PCA transformation on the concatenation for the high dimensional variables temp, sal, dens, and spicy. We will reduce the dimensionality to about 10 features.

Normalize Core Variables

We will use a standard scaler to make the core variables with a mean of 0 and standard deviation of 1. The ML algorithms tend to perform better with this type of standardization.

Coordinate Transformation

In this step, we will do a simple coordinate transformation of the lat,lon variables from geospatial to cartesian coordinates. This will increase the dimensionality of our dataset from 11 dimensions to 12 dimensions.

Time Transformation

In this step, we will transform the doy coordinates to cycles of sines and cosines. This will increase the dimensionality of our data from from 12 to 13.

from sklearn.compose import ColumnTransformer
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.decomposition import PCA

# new columns columns
temp_columns = X_temp.columns.values
dens_columns = X_dens.columns.values
sal_columns = X_sal.columns.values
spicy_columns = X_spicy.columns.values
core_columns = ['sla', "PAR","RHO_WN_412","RHO_WN_443","RHO_WN_490","RHO_WN_555","RHO_WN_670","MLD"]
time_columns = ['doy']
loc_columns = ['lat', 'lon']

n_components = 5
times = ['doy']

new_columns = [
    *["doy_cos", "doy_sin"], 
    *['x', 'y', 'z',],
    *[f"temperature_pc{icomponent+1}" for icomponent in range(n_components)],
#     *[f"density_pc{icomponent+1}" for icomponent in range(n_components)],
    *[f"salinity_pc{icomponent+1}" for icomponent in range(n_components)],
    *[f"spicy_pc{icomponent+1}" for icomponent in range(n_components)],
    *core_columns, 
]
seed = 123

# define transfomer
X_transformer = ColumnTransformer(
    [   ("time", CycleTransform(times), time_columns),
        ("space", GeoCartTransform(), loc_columns),
        ('temp', PCA(n_components=n_components, random_state=seed), temp_columns),
#         ('dens', PCA(n_components=n_components, random_state=seed), dens_columns),
        ('sal', PCA(n_components=n_components, random_state=seed), sal_columns),
        ('spice', PCA(n_components=n_components, random_state=seed), spicy_columns),
        ('core', StandardScaler(with_mean=True, with_std=True), core_columns)
    ],
    remainder='passthrough'
)
# fit transform to data
X_transformer.fit(Xtr)

# transform data
Xtrain = X_transformer.transform(Xtr)
Xtest = X_transformer.transform(Xte)

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"
save_name = 'na'
# y_ticks = np.arange(0, len(feature_names))
plt.style.use(['seaborn-talk'])
fig, ax = plt.subplots(figsize=(7,5))
plt.plot(X_transformer.named_transformers_['temp'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Temperature')
plt.plot(X_transformer.named_transformers_['dens'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Density')
plt.plot(X_transformer.named_transformers_['sal'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Salinity')
plt.plot(X_transformer.named_transformers_['spice'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Spiciness')
# ax.set_title("Random Forest Feature Importances (MDI)")
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.grid(alpha=0.6, color='gray', zorder=0)
ax.set_ylim([0.8, 1.01])
plt.legend(fontsize=20, loc='lower right')
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"evar_{save_name}.png")

2.3 - Output Log Transformation¶

The distribution of the outputs are skewed because there is a lot more variability in the upper depths than the lower depths. Because the distribution of the outputs are fairly skewed, we propose to do a log transformation to make them normally distributed.

ytr_log = np.log(ytr)
yte_log = np.log(yte)

4.3 - Normalize Outputs¶

We will use the same standardization as shown above.

output_transformer = StandardScaler(with_mean=True, with_std=False)

ytrain = output_transformer.fit_transform(ytr_log)
ytest = output_transformer.transform(yte_log)

5 - Train ML Model¶

In this section, we will use a standard random forest (RF) regressor to train on our dataset. Because our data is multi-output, we will need 1 RF per output layer.

rf_model = train_rf_model(Xtrain, ytrain[:, 0], verbose=0)

6 - Test ML Model¶

6.1 - Training Data Results¶

This is often not reported but it is very good to check how well a model does on the initial training data because we have no entered a validation set. If we find that the training stats are too high and the testing stats are very low then we know that we're either overfitting and/or our model is not generalizing very well.

from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score

def get_stats(y_pred: np.ndarray, y: np.ndarray, each_level: bool=False):

    stats = pd.DataFrame()

    # Get total average statistics
    if each_level == False:
        multioutput = 'uniform_average'
        mae = mean_absolute_error(y, ypred, multioutput=multioutput)
        mse = mean_squared_error(y, ypred, multioutput=multioutput)
        rmse = mse
        r2 = r2_score(y, ypred, multioutput=multioutput)
        stats = pd.DataFrame(data=[[mae, mse, rmse, r2]], columns=['mae', 'mse', 'rmse', 'r2'])
    elif each_level == True:
        multioutput = 'raw_values'
        stats['mae'] = mean_absolute_error(y, ypred, multioutput=multioutput)
        stats['mse'] = mean_squared_error(y, ypred, multioutput=multioutput)
        stats['rmse'] = np.sqrt(stats['mse'])
        stats['r2'] = r2_score(y, ypred, multioutput=multioutput)
    else:
        raise ValueError(f"Unrecognized stat request: {each_level}")

    return stats

First we will look at the statistics on average to see what we get.

ypred = rf_model.predict(Xtrain)

# each level
each_level = False

stats = get_stats(ypred, ytrain, each_level=each_level)

stats

	mae	mse	rmse	r2
0	0.052106	0.006352	0.006352	0.963141

Then we can look at the statistics for each level.

each_level = True

stats_df = get_stats(ypred, ytrain, each_level=each_level)

stats_df.head()

	mae	mse	rmse	r2
0	0.096865	0.018830	0.137222	0.969033
1	0.095829	0.018564	0.136249	0.969969
2	0.096502	0.019033	0.137959	0.969814
3	0.096949	0.019117	0.138265	0.970135
4	0.097076	0.019358	0.139134	0.969777

statistic = 'r2'

plt.style.use('seaborn-talk')
plot_mo_stats(
    stats_df, 
    stat=statistic, 
    save_name='na_train'
)

6.2 - Testing Data Results¶

ypred = rf_model.predict(Xtest)

# each level
each_level = False

stats = get_stats(ypred, ytest[:, 0], each_level=each_level)

stats

	mae	mse	rmse	r2
0	0.277807	0.149056	0.149056	0.733938

each_level = True

stats_df = get_stats(ypred, ytest, each_level=each_level)

stats_df.head()

	mae	mse	rmse	r2
0	0.278298	0.150482	0.387920	0.731392
1	0.275361	0.147978	0.384679	0.739083
2	0.278303	0.152700	0.390769	0.735527
3	0.277453	0.151686	0.389469	0.740118
4	0.280141	0.154537	0.393111	0.737845

statistic = 'r2'
plt.style.use('seaborn-talk')
plot_mo_stats(
    stats_df, 
    stat='r2', 
    save_name='na_test'
)

plot_mo_stats(stats_df, stat='mae', save_name='na_test')
plot_mo_stats(stats_df, stat='mse', save_name='na_test')
plot_mo_stats(stats_df, stat='rmse', save_name='na_test')

7 - Post Analysis¶

7.1 - Feature Importance¶

For some algorithms, we can calculate the feature importance based on the inputs dimensions. This is true for the random forest model.

rf_model.

{'bootstrap': True,
 'ccp_alpha': 0.0,
 'criterion': 'mse',
 'max_depth': None,
 'max_features': 'auto',
 'max_leaf_nodes': None,
 'max_samples': None,
 'min_impurity_decrease': 0.0,
 'min_impurity_split': None,
 'min_samples_leaf': 1,
 'min_samples_split': 2,
 'min_weight_fraction_leaf': 0.0,
 'n_estimators': 1500,
 'n_jobs': -1,
 'oob_score': False,
 'random_state': 123,
 'verbose': 0,
 'warm_start': False}

tree_feature_importances = \
    rf_model.feature_importances_

feature_names = np.asarray(new_columns) #np.concatenate((core_columns.values, np.array(pca_columns)))

assert feature_names.shape[0] == tree_feature_importances.shape[0], "Shapes don't match"

sorted_idx = tree_feature_importances.argsort()

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"
save_name = 'na'
y_ticks = np.arange(0, len(feature_names))
plt.style.use(['seaborn-talk'])
fig, ax = plt.subplots(figsize=(10,10))
ax.barh(y_ticks, tree_feature_importances[sorted_idx], zorder=3, height=0.8)
ax.set_yticklabels(feature_names[sorted_idx])
ax.set_yticks(y_ticks)
# ax.set_title("Random Forest Feature Importances (MDI)")
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.grid(alpha=0.6, color='gray', zorder=0)
plt.tight_layout()
plt.show()
# fig.savefig(SAVE_PATH + f"fi_{save_name}.png")

7.2 - Permutation Plot¶

perm_result_test = permutation_importance(
    rf_model, 
    Xtest, 
    ytest, 
    n_repeats=10,
    random_state=42, 
    n_jobs=1
)

[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.7s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.7s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    0.5s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    0.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)

sorted_idx = perm_result_test.importances_mean.argsort()

fig, ax = plt.subplots(figsize=(10,10))
plt.style.use(['seaborn-talk'])
ax.boxplot(
    perm_result_test.importances[sorted_idx].T,
    vert=False, 
    labels=feature_names[sorted_idx]
)
ax.set_title("Permutation Importances (Test set)")
fig.tight_layout()
plt.show()

perm_result_train = permutation_importance(
    rf_model, 
    Xtrain, 
    ytrain, 
    n_repeats=10,
    random_state=42, 
    n_jobs=1
)

[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.9s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.5s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.2s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.6s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.9s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.6s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.3s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.7s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.9s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.1s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.9s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.1s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.3s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.0s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.9s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.2s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.0s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.0s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.6s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.0s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.2s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.2s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.4s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.1s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.5s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.4s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.8s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.3s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    2.0s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.4s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.1s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.7s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.6s
[Parallel(n_jobs=16)]: Done 768 tasks      | elapsed:    1.1s
[Parallel(n_jobs=16)]: Done 1218 tasks      | elapsed:    1.8s
[Parallel(n_jobs=16)]: Done 1500 out of 1500 | elapsed:    2.1s finished
/home/emmanuel/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py:434: FutureWarning: The default value of multioutput (not exposed in score method) will change from 'variance_weighted' to 'uniform_average' in 0.23 to keep consistent with 'metrics.r2_score'. To specify the default value manually and avoid the warning, please either call 'metrics.r2_score' directly or make a custom scorer with 'metrics.make_scorer' (the built-in scorer 'r2' uses multioutput='uniform_average').
  "multioutput='uniform_average').", FutureWarning)
[Parallel(n_jobs=16)]: Using backend ThreadingBackend with 16 concurrent workers.
[Parallel(n_jobs=16)]: Done  18 tasks      | elapsed:    0.0s
[Parallel(n_jobs=16)]: Done 168 tasks      | elapsed:    0.3s
[Parallel(n_jobs=16)]: Done 418 tasks      | elapsed:    0.7s

---------------------------------------------------------------------------
KeyboardInterrupt                         Traceback (most recent call last)
<ipython-input-38-bd4b09c39570> in <module>
      5     n_repeats=10,
      6     random_state=42,
----> 7     n_jobs=1
      8 )

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/inspection/_permutation_importance.py in permutation_importance(estimator, X, y, scoring, n_repeats, n_jobs, random_state)
    116     scores = Parallel(n_jobs=n_jobs)(delayed(_calculate_permutation_scores)(
    117         estimator, X, y, col_idx, random_seed, n_repeats, scorer
--> 118     ) for col_idx in range(X.shape[1]))
    119 
    120     importances = baseline_score - np.array(scores)

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in __call__(self, iterable)
   1005                 self._iterating = self._original_iterator is not None
   1006 
-> 1007             while self.dispatch_one_batch(iterator):
   1008                 pass
   1009 

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in dispatch_one_batch(self, iterator)
    833                 return False
    834             else:
--> 835                 self._dispatch(tasks)
    836                 return True
    837 

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in _dispatch(self, batch)
    752         with self._lock:
    753             job_idx = len(self._jobs)
--> 754             job = self._backend.apply_async(batch, callback=cb)
    755             # A job can complete so quickly than its callback is
    756             # called before we get here, causing self._jobs to

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/_parallel_backends.py in apply_async(self, func, callback)
    207     def apply_async(self, func, callback=None):
    208         """Schedule a func to be run"""
--> 209         result = ImmediateResult(func)
    210         if callback:
    211             callback(result)

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/_parallel_backends.py in __init__(self, batch)
    588         # Don't delay the application, to avoid keeping the input
    589         # arguments in memory
--> 590         self.results = batch()
    591 
    592     def get(self):

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in __call__(self)
    254         with parallel_backend(self._backend, n_jobs=self._n_jobs):
    255             return [func(*args, **kwargs)
--> 256                     for func, args, kwargs in self.items]
    257 
    258     def __len__(self):

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in <listcomp>(.0)
    254         with parallel_backend(self._backend, n_jobs=self._n_jobs):
    255             return [func(*args, **kwargs)
--> 256                     for func, args, kwargs in self.items]
    257 
    258     def __len__(self):

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/inspection/_permutation_importance.py in _calculate_permutation_scores(estimator, X, y, col_idx, random_state, n_repeats, scorer)
     32         else:
     33             X_permuted[:, col_idx] = X_permuted[shuffling_idx, col_idx]
---> 34         feature_score = scorer(estimator, X_permuted, y)
     35         scores[n_round] = feature_score
     36 

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/metrics/_scorer.py in _passthrough_scorer(estimator, *args, **kwargs)
    369 def _passthrough_scorer(estimator, *args, **kwargs):
    370     """Function that wraps estimator.score"""
--> 371     return estimator.score(*args, **kwargs)
    372 
    373 

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/base.py in score(self, X, y, sample_weight)
    420         from .metrics import r2_score
    421         from .metrics._regression import _check_reg_targets
--> 422         y_pred = self.predict(X)
    423         # XXX: Remove the check in 0.23
    424         y_type, _, _, _ = _check_reg_targets(y, y_pred, None)

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/sklearn/ensemble/_forest.py in predict(self, X)
    780                  **_joblib_parallel_args(require="sharedmem"))(
    781             delayed(_accumulate_prediction)(e.predict, X, [y_hat], lock)
--> 782             for e in self.estimators_)
    783 
    784         y_hat /= len(self.estimators_)

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in __call__(self, iterable)
   1015 
   1016             with self._backend.retrieval_context():
-> 1017                 self.retrieve()
   1018             # Make sure that we get a last message telling us we are done
   1019             elapsed_time = time.time() - self._start_time

~/.conda/envs/ml4ocn/lib/python3.6/site-packages/joblib/parallel.py in retrieve(self)
    907             try:
    908                 if getattr(self._backend, 'supports_timeout', False):
--> 909                     self._output.extend(job.get(timeout=self.timeout))
    910                 else:
    911                     self._output.extend(job.get())

~/.conda/envs/ml4ocn/lib/python3.6/multiprocessing/pool.py in get(self, timeout)
    636 
    637     def get(self, timeout=None):
--> 638         self.wait(timeout)
    639         if not self.ready():
    640             raise TimeoutError

~/.conda/envs/ml4ocn/lib/python3.6/multiprocessing/pool.py in wait(self, timeout)
    633 
    634     def wait(self, timeout=None):
--> 635         self._event.wait(timeout)
    636 
    637     def get(self, timeout=None):

~/.conda/envs/ml4ocn/lib/python3.6/threading.py in wait(self, timeout)
    549             signaled = self._flag
    550             if not signaled:
--> 551                 signaled = self._cond.wait(timeout)
    552             return signaled
    553 

~/.conda/envs/ml4ocn/lib/python3.6/threading.py in wait(self, timeout)
    293         try:    # restore state no matter what (e.g., KeyboardInterrupt)
    294             if timeout is None:
--> 295                 waiter.acquire()
    296                 gotit = True
    297             else:

KeyboardInterrupt:

sorted_idx = perm_result_train.importances_mean.argsort()

plt.style.use(['seaborn-talk'])
fig, ax = plt.subplots()
ax.boxplot(
    perm_result_train.importances[sorted_idx].T,
    vert=False, 
    labels=feature_names[sorted_idx]
)
ax.set_title("Permutation Importances (Train set)")
fig.tight_layout()
plt.show()

Subtropical Gyros¶

Load Data¶

X_core = load_standard_data('STG')

X_temp, X_dens, X_sal, X_spicy = load_high_dim_data('STG')

# add prefix
X_temp = X_temp.add_prefix('temp_')
X_dens = X_dens.add_prefix('dens_')
X_sal = X_sal.add_prefix('sal_')
X_spicy = X_spicy.add_prefix('spice_')

# Labels
y = load_labels('STG')

Train-Test Split¶

Xdf = pd.concat([X_core, X_temp, X_dens, X_sal, X_spicy], axis=1)

Xtr, Xte, ytr, yte =  train_test_split(
        Xdf, y,
        train_size=0.8, random_state=123
    )

Post Transformations¶

# new columns columns
temp_columns = X_temp.columns.values
dens_columns = X_dens.columns.values
sal_columns = X_sal.columns.values
spicy_columns = X_spicy.columns.values
core_columns = ['sla', "PAR","RHO_WN_412","RHO_WN_443","RHO_WN_490","RHO_WN_555","RHO_WN_670","MLD"]
time_columns = ['doy']
loc_columns = ['lat', 'lon']

n_components = None
times = ['doy']

# new_columns = [
#     *["doy_cos", "doy_sin"], 
#     *['x', 'y', 'z',],
#     *[f"temperature_pc{icomponent+1}" for icomponent in range(n_components)],
#     *[f"density_pc{icomponent+1}" for icomponent in range(n_components)],
#     *[f"salinity_pc{icomponent+1}" for icomponent in range(n_components)],
#     *[f"spicy_pc{icomponent+1}" for icomponent in range(n_components)],
#     *core_columns, 
# ]
seed = 123
# define transfomer
X_transformer = ColumnTransformer(
    [   ("time", CycleTransform(times), time_columns),
        ("space", GeoCartTransform(), loc_columns),
        ('temp', PCA(n_components=n_components, random_state=seed), temp_columns),
        ('dens', PCA(n_components=n_components, random_state=seed), dens_columns),
        ('sal', PCA(n_components=n_components, random_state=seed), sal_columns),
        ('spice', PCA(n_components=n_components, random_state=seed), spicy_columns),
        ('core', StandardScaler(with_mean=True, with_std=True), core_columns)
    ],
    remainder='passthrough'
)
# fit transform to data
X_transformer.fit(Xtr)

# transform data
Xtrain = X_transformer.transform(Xtr)
Xtest = X_transformer.transform(Xte)

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"
save_name = 'stg'
# y_ticks = np.arange(0, len(feature_names))
plt.style.use(['seaborn-talk'])
fig, ax = plt.subplots(figsize=(7,5))
plt.plot(X_transformer.named_transformers_['temp'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Temperature')
plt.plot(X_transformer.named_transformers_['dens'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Density')
plt.plot(X_transformer.named_transformers_['sal'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Salinity')
plt.plot(X_transformer.named_transformers_['spice'].explained_variance_ratio_[:25].cumsum(), linewidth=4, label='Spiciness')
# ax.set_title("Random Forest Feature Importances (MDI)")
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.grid(alpha=0.6, color='gray', zorder=0)
ax.set_ylim([0.4, 1.01])
plt.legend(fontsize=20, loc='lower right')
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"evar_{save_name}.png")

ytr_log = np.log(ytr)
yte_log = np.log(yte)

output_transformer = StandardScaler(with_mean=True, with_std=False)

ytrain = output_transformer.fit_transform(ytr_log)
ytest = output_transformer.transform(yte_log)

Train ML Model¶

rf_model = train_rf_model(Xtrain, ytrain, verbose=0)

Test ML Model¶

ypred = rf_model.predict(Xtest)
# each level
each_level = False

stats = get_stats(ypred, ytest, each_level=each_level)

stats

	mae	mse	rmse	r2
0	0.076012	0.011566	0.011566	0.836507

each_level = True

stats_df = get_stats(ypred, ytest, each_level=each_level)

stats_df.head()

	mae	mse	rmse	r2
0	0.090821	0.015937	0.126243	0.796359
1	0.079254	0.013080	0.114367	0.831335
2	0.080978	0.013442	0.115940	0.819716
3	0.081550	0.013506	0.116216	0.813086
4	0.076334	0.011775	0.108515	0.826654

statistic = 'r2'
plt.style.use('seaborn-talk')
plot_mo_stats(
    stats_df, 
    stat='r2', 
    save_name='stg_test',
    color='red'
)

plot_mo_stats(stats_df, stat='mae', save_name='stg_test', color='red')
plot_mo_stats(stats_df, stat='mse', save_name='stg_test', color='red')
plot_mo_stats(stats_df, stat='rmse', save_name='stg_test', color='red')

Post Analysis¶

tree_feature_importances = \
    rf_model.feature_importances_

feature_names = np.asarray(new_columns) #np.concatenate((core_columns.values, np.array(pca_columns)))

assert feature_names.shape[0] == tree_feature_importances.shape[0], "Shapes don't match"

sorted_idx = tree_feature_importances.argsort()

SAVE_PATH = "/media/disk/erc/papers/2019_ML_OCN/ml4ocean/reports/figures/"
save_name = 'stg'
y_ticks = np.arange(0, len(feature_names))
plt.style.use(['seaborn-talk'])
fig, ax = plt.subplots(figsize=(10,10))
ax.barh(y_ticks, tree_feature_importances[sorted_idx], zorder=3, height=0.8, color='red')
ax.set_yticklabels(feature_names[sorted_idx])
ax.set_yticks(y_ticks)
# ax.set_title("Random Forest Feature Importances (MDI)")
ax.tick_params(axis="both", which="major", labelsize=20)
ax.tick_params(axis="both", which="minor", labelsize=20)
ax.grid(alpha=0.6, color='gray', zorder=0)
plt.tight_layout()
plt.show()
fig.savefig(SAVE_PATH + f"fi_{save_name}.png")

depths = 276
first = [*range(1, 250)]
d1 = first[::2]

second = [*range(251,1000)]
d2 = second[::5]

len(d1), len(d2)

(125, 150)

plt.plot(-np.concatenate((d1,d2)))

[<matplotlib.lines.Line2D at 0x7f8ad6785a90>]