Eddie Bergman: Update isort-check.yaml to remove occurences of black (#1342)

Author: Github Actions

development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip

@@ -154,7 +154,7 @@ View the models found by auto-sklearn
 
               rank  ensemble_weight           type      cost  duration
     model_id                                                          
-    2            1              1.0  random_forest  0.447294  3.722532
+    2            1              1.0  random_forest  0.447294  3.259168
 
 
 
@@ -262,7 +262,7 @@ Get the Score of the final ensemble
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  17.564 seconds)
+   **Total running time of the script:** ( 0 minutes  14.171 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_multilabel_classification.py:

development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip

@@ -124,7 +124,7 @@ View the models found by auto-sklearn
 
               rank  ensemble_weight              type          cost  duration
     model_id                                                                 
-    20           1              1.0  gaussian_process  2.198749e-08  4.786565
+    11           1              1.0  gaussian_process  4.436846e-10  9.897039
 
 
 
@@ -151,7 +151,7 @@ Print the final ensemble constructed by auto-sklearn
 
  .. code-block:: none
 
-    [(1.000000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'extra_trees_preproc_for_regression', 'regressor:__choice__': 'gaussian_process', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:extra_trees_preproc_for_regression:bootstrap': 'True', 'feature_preprocessor:extra_trees_preproc_for_regression:criterion': 'mae', 'feature_preprocessor:extra_trees_preproc_for_regression:max_depth': 'None', 'feature_preprocessor:extra_trees_preproc_for_regression:max_features': 0.5166678376035129, 'feature_preprocessor:extra_trees_preproc_for_regression:max_leaf_nodes': 'None', 'feature_preprocessor:extra_trees_preproc_for_regression:min_samples_leaf': 1, 'feature_preprocessor:extra_trees_preproc_for_regression:min_samples_split': 9, 'feature_preprocessor:extra_trees_preproc_for_regression:min_weight_fraction_leaf': 0.0, 'feature_preprocessor:extra_trees_preproc_for_regression:n_estimators': 100, 'regressor:gaussian_process:alpha': 4.2478708206859043e-10, 'regressor:gaussian_process:thetaL': 1.158691069519535e-05, 'regressor:gaussian_process:thetaU': 1167.1248238015862, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.01017601832778754},
+    [(1.000000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'gaussian_process', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'regressor:gaussian_process:alpha': 1.6650724498551164e-11, 'regressor:gaussian_process:thetaL': 5.222627524598125e-10, 'regressor:gaussian_process:thetaU': 5801.524168449955, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0809214996879808, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.9020530113478731, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.10288728233229412},
     dataset_properties={
       'task': 5,
       'sparse': False,
@@ -186,7 +186,7 @@ Get the Score of the final ensemble
 
  .. code-block:: none
 
-    R2 score: 0.9999999937620259
+    R2 score: 0.9999999995269687
 
 
 
@@ -409,7 +409,7 @@ Get the configuration space
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  1.233 seconds)
+   **Total running time of the script:** ( 1 minutes  54.019 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_multioutput_regression.py:

development/_images/sphx_glr_example_inspect_predictions_001.png

@@ -119,13 +119,12 @@ View the models found by auto-sklearn
 
  .. code-block:: none
 
-              rank  ensemble_weight               type      cost   duration
-    model_id                                                               
-    25           1             0.46                sgd  0.436679   0.732215
-    6            2             0.32     ard_regression  0.455042   0.723179
-    27           3             0.14     ard_regression  0.462249   0.728957
-    11           4             0.02      random_forest  0.507400  10.798643
-    7            5             0.06  gradient_boosting  0.518673   1.353502
+              rank  ensemble_weight               type      cost  duration
+    model_id                                                              
+    25           1             0.44                sgd  0.436679  0.602655
+    6            2             0.34     ard_regression  0.455042  0.617590
+    39           3             0.18     ard_regression  0.474807  0.600889
+    7            4             0.04  gradient_boosting  0.518673  1.082535
 
 
 
@@ -152,35 +151,28 @@ Print the final ensemble constructed by auto-sklearn
 
  .. code-block:: none
 
-    [(0.460000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'regressor:__choice__': 'sgd', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False', 'regressor:sgd:alpha': 0.0006517033225329654, 'regressor:sgd:average': 'False', 'regressor:sgd:fit_intercept': 'True', 'regressor:sgd:learning_rate': 'invscaling', 'regressor:sgd:loss': 'epsilon_insensitive', 'regressor:sgd:penalty': 'elasticnet', 'regressor:sgd:tol': 0.002431731981071206, 'regressor:sgd:epsilon': 0.012150149892783745, 'regressor:sgd:eta0': 0.016444224834275295, 'regressor:sgd:l1_ratio': 1.7462342366289323e-09, 'regressor:sgd:power_t': 0.21521743568582094},
+    [(0.440000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'regressor:__choice__': 'sgd', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:polynomial:degree': 3, 'feature_preprocessor:polynomial:include_bias': 'False', 'feature_preprocessor:polynomial:interaction_only': 'False', 'regressor:sgd:alpha': 0.0006517033225329654, 'regressor:sgd:average': 'False', 'regressor:sgd:fit_intercept': 'True', 'regressor:sgd:learning_rate': 'invscaling', 'regressor:sgd:loss': 'epsilon_insensitive', 'regressor:sgd:penalty': 'elasticnet', 'regressor:sgd:tol': 0.002431731981071206, 'regressor:sgd:epsilon': 0.012150149892783745, 'regressor:sgd:eta0': 0.016444224834275295, 'regressor:sgd:l1_ratio': 1.7462342366289323e-09, 'regressor:sgd:power_t': 0.21521743568582094},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (0.320000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'regressor:__choice__': 'ard_regression', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'False', 'regressor:ard_regression:alpha_1': 0.0003701926442639788, 'regressor:ard_regression:alpha_2': 2.2118001735899097e-07, 'regressor:ard_regression:fit_intercept': 'True', 'regressor:ard_regression:lambda_1': 1.2037591637980971e-06, 'regressor:ard_regression:lambda_2': 4.358378124977852e-09, 'regressor:ard_regression:n_iter': 300, 'regressor:ard_regression:threshold_lambda': 1136.5286041327277, 'regressor:ard_regression:tol': 0.021944240404849075},
+    (0.340000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'regressor:__choice__': 'ard_regression', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'standardize', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'False', 'regressor:ard_regression:alpha_1': 0.0003701926442639788, 'regressor:ard_regression:alpha_2': 2.2118001735899097e-07, 'regressor:ard_regression:fit_intercept': 'True', 'regressor:ard_regression:lambda_1': 1.2037591637980971e-06, 'regressor:ard_regression:lambda_2': 4.358378124977852e-09, 'regressor:ard_regression:n_iter': 300, 'regressor:ard_regression:threshold_lambda': 1136.5286041327277, 'regressor:ard_regression:tol': 0.021944240404849075},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (0.140000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'select_rates_regression', 'regressor:__choice__': 'ard_regression', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'robust_scaler', 'feature_preprocessor:select_rates_regression:alpha': 0.3621762718897781, 'feature_preprocessor:select_rates_regression:mode': 'fwe', 'feature_preprocessor:select_rates_regression:score_func': 'f_regression', 'regressor:ard_regression:alpha_1': 2.7664515192592053e-05, 'regressor:ard_regression:alpha_2': 9.504988116581138e-07, 'regressor:ard_regression:fit_intercept': 'True', 'regressor:ard_regression:lambda_1': 6.50650698230178e-09, 'regressor:ard_regression:lambda_2': 4.238533890074848e-07, 'regressor:ard_regression:n_iter': 300, 'regressor:ard_regression:threshold_lambda': 78251.58542976103, 'regressor:ard_regression:tol': 0.0007301343236220855, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0001745391328519669, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_max': 0.8057830372269097, 'data_preprocessor:feature_type:numerical_transformer:rescaling:robust_scaler:q_min': 0.24982831110057324},
+    (0.180000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'regressor:__choice__': 'ard_regression', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'no_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'normalize', 'feature_preprocessor:fast_ica:algorithm': 'parallel', 'feature_preprocessor:fast_ica:fun': 'logcosh', 'feature_preprocessor:fast_ica:whiten': 'False', 'regressor:ard_regression:alpha_1': 0.0005012365297609799, 'regressor:ard_regression:alpha_2': 3.025360750168211e-08, 'regressor:ard_regression:fit_intercept': 'True', 'regressor:ard_regression:lambda_1': 4.9749646614525684e-05, 'regressor:ard_regression:lambda_2': 3.2368037115065363e-10, 'regressor:ard_regression:n_iter': 300, 'regressor:ard_regression:threshold_lambda': 18669.665899307194, 'regressor:ard_regression:tol': 0.0012624032013298571},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (0.060000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'gradient_boosting', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'regressor:gradient_boosting:early_stop': 'off', 'regressor:gradient_boosting:l2_regularization': 1.8428972335335263e-10, 'regressor:gradient_boosting:learning_rate': 0.012607824914758717, 'regressor:gradient_boosting:loss': 'least_squares', 'regressor:gradient_boosting:max_bins': 255, 'regressor:gradient_boosting:max_depth': 'None', 'regressor:gradient_boosting:max_leaf_nodes': 10, 'regressor:gradient_boosting:min_samples_leaf': 8, 'regressor:gradient_boosting:scoring': 'loss', 'regressor:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 952, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'},
-    dataset_properties={
-      'task': 4,
-      'sparse': False,
-      'multioutput': False,
-      'target_type': 'regression',
-      'signed': False})),
-    (0.020000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'polynomial', 'regressor:__choice__': 'random_forest', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'minority_coalescer', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'mean', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:polynomial:degree': 2, 'feature_preprocessor:polynomial:include_bias': 'True', 'feature_preprocessor:polynomial:interaction_only': 'True', 'regressor:random_forest:bootstrap': 'False', 'regressor:random_forest:criterion': 'mae', 'regressor:random_forest:max_depth': 'None', 'regressor:random_forest:max_features': 0.6277363920171745, 'regressor:random_forest:max_leaf_nodes': 'None', 'regressor:random_forest:min_impurity_decrease': 0.0, 'regressor:random_forest:min_samples_leaf': 6, 'regressor:random_forest:min_samples_split': 15, 'regressor:random_forest:min_weight_fraction_leaf': 0.0, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.0010413452644415357},
+    (0.040000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'no_preprocessing', 'regressor:__choice__': 'gradient_boosting', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'one_hot_encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'quantile_transformer', 'regressor:gradient_boosting:early_stop': 'off', 'regressor:gradient_boosting:l2_regularization': 1.8428972335335263e-10, 'regressor:gradient_boosting:learning_rate': 0.012607824914758717, 'regressor:gradient_boosting:loss': 'least_squares', 'regressor:gradient_boosting:max_bins': 255, 'regressor:gradient_boosting:max_depth': 'None', 'regressor:gradient_boosting:max_leaf_nodes': 10, 'regressor:gradient_boosting:min_samples_leaf': 8, 'regressor:gradient_boosting:scoring': 'loss', 'regressor:gradient_boosting:tol': 1e-07, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:n_quantiles': 952, 'data_preprocessor:feature_type:numerical_transformer:rescaling:quantile_transformer:output_distribution': 'uniform'},
     dataset_properties={
       'task': 4,
       'sparse': False,
@@ -221,8 +213,8 @@ predicting the data mean has an R2 score of 0.
 
  .. code-block:: none
 
-    Train R2 score: 0.5944780427522034
-    Test R2 score: 0.3959585042866587
+    Train R2 score: 0.5855373845454157
+    Test R2 score: 0.39879073225079487
 
 
 
@@ -267,7 +259,7 @@ the true value).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 2 minutes  0.468 seconds)
+   **Total running time of the script:** ( 1 minutes  58.004 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_regression.py: