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DistanceMetric — scikit-learn 1.6.0 documentation
get_metric ( 'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
アーティストランキング一覧1,027件中 1件から20件 - gooランキング
アーティスト ランキング一覧 1,027件中 1件から20件 RSSを購読する 90年代最強の歌姫ランキング！宇多田ヒカ...を抑えて1位に選ばれたのは… 芸能 芸人 アーティスト アイドル モデル 俳優 女優 2024年10月02日 1 2 3...ranking.goo.ne.jp/topic/6/ -
SelectorMixin — scikit-learn 1.6.0 documentation
shape [ 1 ] ... return self ... def _get_support_mask..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html -
delayed — scikit-learn 1.6.0 documentation
Changed in version 1.3: delayed was moved from sklearn.utils.fixes...sklearn.utils.parallel in scikit-learn 1.3. Parameters : function callable...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.delayed.html -
cross_val_score — scikit-learn 1.7.dev0 documen...
means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.3 Release Highlights for scikit-learn 1.3 Model selection...scikit-learn.org/dev/modules/generated/sklearn.model_selection.cross_val_score.html -
TimeSeriesSplit — scikit-learn 1.6.0 documentation
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...index=[0] Test: index=[1] Fold 1: Train: index=[0 1] Test: index=[2]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
OrdinalEncoder — scikit-learn 1.6.0 documentation
inverse_transform ([[ 1 , 0 ], [ 0 , 1 ]]) array([['Male', 1], ['Female',... =- 1 ) . fit_transform ( X ) array([[ 1., 0.], [ 0., 1.], [...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OrdinalEncoder.html -
ShuffleSplit — scikit-learn 1.6.0 documentation
array ([ 1 , 2 , 1 , 2 , 1 , 2 ]) >>> rs = ShuffleSplit...Train: index=[1 3 0 4] Test: index=[5 2] Fold 1: Train: index=[4...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
VotingClassifier — scikit-learn 1.6.0 documenta...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.ensemble.VotingClassifier.html -
SparseCoder — scikit-learn 1.6.0 documentation
1 , 0 ], ... [ - 1 , - 1 , 2 ], ... [ 1 , 1 , 1 ], ......>>> X = np . array ([[ - 1 , - 1 , - 1 ], [ 0 , 0 , 3 ]]) >>> dictionary...scikit-learn.org/stable/modules/generated/sklearn.decomposition.SparseCoder.html