Sagar Kaushik: Fix typo in contribution guide (#1322)

Author: Github Actions

development/_downloads/bc82bea3a5dd7bdba60b65220891d9e5/examples_python.zip

@@ -157,7 +157,7 @@ View the models found by auto-sklearn
 
               rank  ensemble_weight           type      cost  duration
     model_id                                                          
-    2            1              1.0  random_forest  0.447294  3.100555
+    2            1              1.0  random_forest  0.447294  4.436343
 
 
 
@@ -265,7 +265,7 @@ Get the Score of the final ensemble
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 0 minutes  12.020 seconds)
+   **Total running time of the script:** ( 0 minutes  16.045 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_multilabel_classification.py:

development/_downloads/fb625db3c50d423b1b7881136ffdeec8/examples_jupyter.zip

@@ -122,10 +122,9 @@ View the models found by auto-sklearn
 
  .. code-block:: none
 
-              rank  ensemble_weight              type          cost   duration
-    model_id                                                                  
-    19           1              0.8  gaussian_process  4.875276e-08   2.043076
-    27           2              0.2  gaussian_process  7.436288e-08  11.404179
+              rank  ensemble_weight              type      cost  duration
+    model_id                                                             
+    14           1              1.0  gaussian_process  0.000033  4.520127
 
 
 
@@ -152,14 +151,7 @@ Print the final ensemble constructed by auto-sklearn
 
  .. code-block:: none
 
-    [(0.800000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', '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': 'most_frequent', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'exp', 'feature_preprocessor:fast_ica:whiten': 'True', 'regressor:gaussian_process:alpha': 7.189405483522553e-14, 'regressor:gaussian_process:thetaL': 2.0661476131515158e-08, 'regressor:gaussian_process:thetaU': 18.582753656416884, 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:minority_coalescer:minimum_fraction': 0.03430109692673908, 'feature_preprocessor:fast_ica:n_components': 321},
-    dataset_properties={
-      'task': 5,
-      'sparse': False,
-      'multioutput': True,
-      'target_type': 'regression',
-      'signed': False})),
-    (0.200000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'fast_ica', 'regressor:__choice__': 'gaussian_process', 'data_preprocessor:feature_type:categorical_transformer:categorical_encoding:__choice__': 'encoding', 'data_preprocessor:feature_type:categorical_transformer:category_coalescence:__choice__': 'no_coalescense', 'data_preprocessor:feature_type:numerical_transformer:imputation:strategy': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'minmax', 'feature_preprocessor:fast_ica:algorithm': 'deflation', 'feature_preprocessor:fast_ica:fun': 'cube', 'feature_preprocessor:fast_ica:whiten': 'False', 'regressor:gaussian_process:alpha': 1.1020473254006217e-14, 'regressor:gaussian_process:thetaL': 5.983101904824557e-07, 'regressor:gaussian_process:thetaU': 21285.10502294252},
+    [(1.000000, SimpleRegressionPipeline({'data_preprocessor:__choice__': 'feature_type', 'feature_preprocessor:__choice__': 'feature_agglomeration', 'regressor:__choice__': 'gaussian_process', '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': 'median', 'data_preprocessor:feature_type:numerical_transformer:rescaling:__choice__': 'power_transformer', 'feature_preprocessor:feature_agglomeration:affinity': 'manhattan', 'feature_preprocessor:feature_agglomeration:linkage': 'average', 'feature_preprocessor:feature_agglomeration:n_clusters': 365, 'feature_preprocessor:feature_agglomeration:pooling_func': 'mean', 'regressor:gaussian_process:alpha': 0.0001892420474677165, 'regressor:gaussian_process:thetaL': 1.7549152191973897e-09, 'regressor:gaussian_process:thetaU': 2227.384462976473},
     dataset_properties={
       'task': 5,
       'sparse': False,
@@ -194,7 +186,7 @@ Get the Score of the final ensemble
 
  .. code-block:: none
 
-    R2 score: 0.9999999523607747
+    R2 score: 0.999962998298447
 
 
 
@@ -417,7 +409,7 @@ Get the configuration space
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  58.364 seconds)
+   **Total running time of the script:** ( 1 minutes  56.999 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_multioutput_regression.py:

development/_images/sphx_glr_example_inspect_predictions_001.png

@@ -119,12 +119,13 @@ View the models found by auto-sklearn
 
  .. code-block:: none
 
-              rank  ensemble_weight               type      cost  duration
-    model_id                                                              
-    25           1             0.44                sgd  0.436679  0.545973
-    6            2             0.34     ard_regression  0.455042  0.554689
-    39           3             0.18     ard_regression  0.474807  0.557886
-    7            4             0.04  gradient_boosting  0.518673  0.985965
+              rank  ensemble_weight               type      cost   duration
+    model_id                                                               
+    25           1             0.46                sgd  0.436679   0.850374
+    6            2             0.32     ard_regression  0.455042   0.852782
+    27           3             0.14     ard_regression  0.462249   0.827338
+    11           4             0.02      random_forest  0.507400  11.182383
+    7            5             0.06  gradient_boosting  0.518673   1.586598
 
 
 
@@ -151,28 +152,35 @@ Print the final ensemble constructed by auto-sklearn
 
  .. code-block:: none
 
-    [(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},
+    [(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},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (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},
+    (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},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (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},
+    (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},
     dataset_properties={
       'task': 4,
       'sparse': False,
       'multioutput': False,
       'target_type': 'regression',
       'signed': False})),
-    (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'},
+    (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},
     dataset_properties={
       'task': 4,
       'sparse': False,
@@ -213,8 +221,8 @@ predicting the data mean has an R2 score of 0.
 
  .. code-block:: none
 
-    Train R2 score: 0.5855373845454157
-    Test R2 score: 0.39879073225079487
+    Train R2 score: 0.5944780427522034
+    Test R2 score: 0.3959585042866587
 
 
 
@@ -259,7 +267,7 @@ the true value).
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** ( 1 minutes  56.146 seconds)
+   **Total running time of the script:** ( 1 minutes  54.910 seconds)
 
 
 .. _sphx_glr_download_examples_20_basic_example_regression.py: