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FunctionTransformer — scikit-learn 1.8.0 docume...
Added in version 1.1. kw_args dict, default=None Dictionary...) array([[0. , 0.6931], [1.0986, 1.3862]]) fit ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.FunctionTransformer.html -
grid_to_graph — scikit-learn 1.8.0 documentation
0) 1 (1, 1) 1 On this page This Page...dtype = bool ) >>> mask [[ 1 , 2 ], [ 1 , 2 ], :] = True >>> graph...scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.image.grid_to_graph.html -
sigmoid_kernel — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
add_dummy_feature — scikit-learn 1.8.0 document...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
pairwise_distances_argmin_min — scikit-learn 1....
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...argmin array([0, 1]) >>> distances array([1., 1.]) On this page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html -
normalized_mutual_info_score — scikit-learn 1.8...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> normalized_mutual_info_score...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
pair_confusion_matrix — scikit-learn 1.8.0 docu...
1 , 1 ], [ 1 , 1 , 0 , 0 ]) array([[8,...pair_confusion_matrix ([ 0 , 0 , 1 , 2 ], [ 0 , 0 , 1 , 1 ]) array([[8, 2],...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.pair_confusion_matrix.html -
BiclusterMixin — scikit-learn 1.8.0 documentation
array ([[ 1 , 1 ], [ 2 , 1 ], [ 1 , 0 ], ... [ 4 , 7...np . ones ( shape = ( 1 , X . shape [ 1 ]), dtype = bool ) ......scikit-learn.org/stable/modules/generated/sklearn.base.BiclusterMixin.html -
get_scorer — scikit-learn 1.8.0 documentation
1 , - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>> y = np...np . array ([ 0 , 1 , 1 , 0 , 1 ]) >>> classifier = DummyClassifier...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
linear_kernel — scikit-learn 1.8.0 documentation
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...linear_kernel ( X , Y ) array([[0., 0.], [1., 2.]]) On this page This Page...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.linear_kernel.html