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KNeighborsRegressor — scikit-learn 1.7.2 ...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsRegressor.html -
KNeighborsClassifier — scikit-learn 1.7.2...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...], [ 1 ], [ 2 ], [ 3 ]] >>> y = [ 0 , 0 , 1 , 1 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.neighbors.KNeighborsClassifier.html -
hamming_loss — scikit-learn 1.7.2 documen...
1 ], [ 1 , 1 ]]), np . zeros (( 2 , 2...between 0 and 1, lower being better. References [ 1 ] Grigorios...scikit-learn.org/stable/modules/generated/sklearn.metrics.hamming_loss.html -
OPTICS — scikit-learn 1.7.2 documentation
1, 1, 1]) For a more detailed example...min_samples int > 1 or float between 0 and 1, default=5 The number...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
Version 1.1 — scikit-learn 1.7.2 document...
Version 1.1.0 # May 2022 Minimal dependencies # Version 1.1.0 of...#23273 by Thomas Fan . Version 1.1.1 # May 2022 Changelog # Enhancement...scikit-learn.org/stable/whats_new/v1.1.html -
johnson_lindenstrauss_min_dim — scikit-le...
by: (1 - eps) ||u - v||^2 < ||p(u) - p(v)||^2 < (1 + eps)...]0, 1[ and p is a projection by a random Gaussian N(0, 1) matrix...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
accuracy_score — scikit-learn 1.7.2 docum...
1 ], [ 1 , 1 ]]), np . ones (( 2 , 2...= [ 0 , 2 , 1 , 3 ] >>> y_true = [ 0 , 1 , 2 , 3 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html -
NearestCentroid — scikit-learn 1.7.2 docu...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2...2 , 1 ], [ 3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
DecisionTreeClassifier — scikit-learn 1.7...
[{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.DecisionTreeClassifier.html -
TransformerMixin — scikit-learn 1.7.2 doc...
fit_transform ( X ) array([1, 1, 1]) fit_transform ( X , y = None...__init__ ( self , * , param = 1 ): ... self . param = param ......scikit-learn.org/stable/modules/generated/sklearn.base.TransformerMixin.html