8000 Some more doc fixes · scikit-learn/scikit-learn@5d4813c · GitHub
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Some more doc fixes
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‎sklearn/model_selection/_search.py

Lines changed: 13 additions & 16 deletions
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@@ -810,10 +810,9 @@ class GridSearchCV(BaseSearchCV):
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scoring=..., verbose=...)
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>>> sorted(clf.cv_results_.keys())
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... # doctest: +NORMALIZE_WHITESPACE +ELLIPSIS
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['mean_test_score', 'mean_test_time', 'mean_train_score',...
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'param_C', 'param_kernel', 'params', 'rank_test_score',...
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'split0_test_score', 'split1_test_score',...
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'split2_test_score', 'std_test_score', 'std_test_time'...]
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['mean_test_score', 'mean_time', 'param_C', 'param_kernel',...
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'params', 'rank_test_score', 'split0_test_score', 'split1_test_score',...
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'split2_test_score', 'std_test_score', 'std_time'...]
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Attributes
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----------
@@ -852,17 +851,17 @@ class GridSearchCV(BaseSearchCV):
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'split0_train_score': [0.9, 0.8, 0.85, 1.]
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'split1_train_score': [0.95, 0.7, 0.8, 0.8]
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'mean_train_score' : [0.93, 0.75, 0.83, 0.9]
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'std_train_score' : [0.02, 0.01, 0.03, 0.03],
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'rank_train_score' : [2, 4, 3, 1],
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'mean_test_time' : [0.00073, 0.00063, 0.00043, 0.00049]
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'std_test_time' : [1.62e-4, 3.37e-5, 1.42e-5, 1.1e-5]
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'std_train_score' : [0.02, 0.01, 0.03, 0.03],
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'rank_train_score' : [2, 4, 3, 1],
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'mean_time' : [0.00073, 0.00063, 0.00043, 0.00049]
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'std_time' : [1.62e-4, 3.37e-5, 1.42e-5, 1.1e-5]
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'params' : [{'kernel': 'poly', 'degree': 2}, ...],
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}
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NOTE that the key ``'params'`` is used to store a list of parameter
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settings dict for all the parameter candidates. Besides,
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``'train_mean_score'``, ``'train_split*_score'``, ... will be present
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when ``return_train_score=True``.
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``'mean_train_score'``, ``'split*_train_score'``, ... will be present
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when ``return_train_score`` is set to ``True``.
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best_es BC8B timator_ : estimator
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Estimator that was chosen by the search, i.e. estimator
@@ -1098,17 +1097,15 @@ class RandomizedSearchCV(BaseSearchCV):
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'mean_train_score' : [0.81, 0.7, 0.7],
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'std_train_score' : [0.00073, 0.00063, 0.00043]
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'rank_train_score' : [1.62e-4, 3.37e-5, 1.1e-5]
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'test_mean_time' : [0.00073, 0.00063, 0.00043]
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'test_std_time' : [1.62e-4, 3.37e-5, 1.1e-5]
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'test_std_score' : [0.02, 0.2, 0.],
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'test_rank_score' : [3, 1, 1],
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'mean_time' : [0.00073, 0.00063, 0.00043]
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'std_time' : [1.62e-4, 3.37e-5, 1.1e-5]
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'params' : [{'kernel' : 'rbf', 'gamma' : 0.1}, ...],
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}
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NOTE that the key ``'params'`` is used to store a list of parameter
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settings dict for all the parameter candidates. Besides,
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'train_mean_score', 'train_split*_score', ... will be present when
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return_train_score is set to True.
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``'mean_train_score'``, ``'split*_train_score'``, ... will be present
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when ``return_train_score`` is set to ``True``.
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best_estimator_ : estimator
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Estimator that was chosen by the search, i.e. estimator

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