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RadiusNeighborsTransformer — scikit-learn...
() array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_output...who’s the closest point to [1, 1, 1]: >>> import numpy...scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html -
ExtraTreeClassifier — scikit-learn 1.7.2 ...
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html -
MultiTaskElasticNet — scikit-learn 1.7.2 ...
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2...], [ 1 , 1 ], [ 2 , 2 ]]) MultiTaskElasticNet(alpha=0.1) >>>...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
non_negative_factorization — scikit-learn...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
BaggingClassifier — scikit-learn 1.7.2 do...
max_samples = 1.0 , max_features = 1.0 , bootstrap = True...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingClassifier.html -
pairwise_distances_argmin_min — scikit-le...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...array([0, 1]) >>> distances array([1., 1.]) On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html -
ndcg_score — scikit-learn 1.7.2 documenta...
1.1 , 1. , .5 , .0 ]]) >>>...scores = np . asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
make_friedman3 — scikit-learn 1.7.2 docum...
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <=...arctan (( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
incr_mean_variance_axis — scikit-learn 1....
1 , 2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2...last_n = 2 ... ) (array([1.33, 0.167, 1.17]), array([8.88, 0.139,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
fbeta_score — scikit-learn 1.7.2 document...
1 , 2 , 0 , 1 , 2 ] >>> y_pred = [ 0 , 2 , 1 , 0...beta > 1 gives more weight to recall, while beta < 1 favors...scikit-learn.org/stable/modules/generated/sklearn.metrics.fbeta_score.html