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sklearn.model_selection.StratifiedShuffleSplit ...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [...np . array ([ 0 , 0 , 0 , 1 , 1 , 1 ]) >>> sss = StratifiedShuffleSpl...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html -
sklearn.compose.TransformedTargetRegressor — sc...
reshape ( - 1 , 1 ) >>> y = np . exp ( 2 * X )...Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...scikit-learn.org/stable/modules/generated/sklearn.compose.TransformedTargetRegressor.html -
sklearn.model_selection.RepeatedStratifiedKFold...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rskf = RepeatedStratifiedKF...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedStratifiedKFold.html -
sklearn.metrics.pairwise_distances — scikit-lea...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...deprecated from SciPy 1.9 and will be removed in SciPy 1.11. Note 'matching'...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances.html -
sklearn.neighbors.NeighborhoodComponentsAnalysi...
If 1, progress messages will be printed to stdout. If > 1, progress...Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NeighborhoodComponentsAnalysis.html -
sklearn.model_selection.GroupShuffleSplit — sci...
index=[0 1], group=[1 1] Fold 1: Train: index=[0 1 5 6 7], group=[1...shape = ( 8 , 1 )) >>> groups = np . array ([ 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupShuffleSplit.html -
sklearn.cluster.affinity_propagation — scikit-l...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2...>>> labels array([0, 0, 0, 1, 1, 1]) Examples using sklearn.c...scikit-learn.org/stable/modules/generated/sklearn.cluster.affinity_propagation.html -
sklearn.linear_model.ElasticNetCV — scikit-lear...
l1_ratio = 1 it is an L1 penalty. For 0 < l1_ratio < 1 , the penalty...(i.e. Ridge), as in [.1, .5, .7, .9, .95, .99, 1] . eps float, default=1e-3...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ElasticNetCV.html -
sklearn.linear_model.LinearRegression — scikit-...
([[ 1 , 1 ], [ 1 , 2 ], [ 2 , 2 ], [ 2 , 3 ]]) >>> # y = 1 * x_0...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html -
6.1. Pipelines and composite estimators — sciki...
1.1.1. Usage 6.1.1.1.1. Build a pipeline 6.1.1.1.2. Access...is the pipeline. 6.1.1.1. Usage 6.1.1.1.1. Build a pipeline The...scikit-learn.org/stable/modules/compose.html