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label_ranking_average_precision_score — s...
1 ], [ 1 , 0.2 , 0.1 ]]) >>> la...y_true = np . array ([[ 1 , 0 , 0 ], [ 0 , 0 , 1 ]]) >>> y_score...scikit-learn.org/stable/modules/generated/sklearn.metrics.label_ranking_average_precision_score.html -
homogeneity_completeness_v_measure — scik...
1 , 1 , 2 , 2 ], [ 0 , 0 , 1 , 2 , 2 , 2 ] >>>...float Score between 0.0 and 1.0. 1.0 stands for perfectly homogeneous...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html -
NMF — scikit-learn 1.8.0 documentation
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.NMF.html -
IncrementalPCA — scikit-learn 1.8.0 docum...
([[ - 1 , - 1 ], [ - 2 , - 1 ], [ - 3 , - 2 ], ... [ 1 , 1 ], [...principal components, versus 1 large SVD of complexity O(n_samples...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
fetch_20newsgroups — scikit-learn 1.8.0 d...
1, 1, 1, 0, 1, 1, 0, 0, 0]) Gallery examples...Added in version 1.5. delay float, default=1.0 Number of seconds...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
TransformerMixin — scikit-learn 1.8.0 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 -
MDS — scikit-learn 1.8.0 documentation
n_init will change from 4 to 1 in version 1.9. init {‘random’, ‘classical_mds’},...Added in version 1.8. Changed in version 1.10: The default value...scikit-learn.org/stable/modules/generated/sklearn.manifold.MDS.html -
kmeans_plusplus — scikit-learn 1.8.0 docu...
array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 10 , 2...provided array. Added in version 1.3. x_squared_norms array-like...scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html -
Lasso — scikit-learn 1.8.0 documentation
1 ) >>> clf . fit ([[ 0 , 0 ], [ 1 , 1 ], [ 2...2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1) >>> print (...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
PartialDependenceDisplay — scikit-learn 1...
Added in version 1.1: Add the possibility to pass...display . plot ( pdp_lim = { 1 : ( - 1.38 , 0.66 )}) <...>...scikit-learn.org/stable/modules/generated/sklearn.inspection.PartialDependenceDisplay.html