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normalized_mutual_info_score — scikit-lea...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> ...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 -
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 -
pair_confusion_matrix — scikit-learn 1.8....
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 -
mean_poisson_deviance — scikit-learn 1.8....
with the power parameter power=1 . Read more in the User Guide...>>> y_true = [ 2 , 0 , 1 , 4 ] >>> y_pred = [...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
power_transform — scikit-learn 1.8.0 docu...
'box-cox' )) [[-1.332 -0.707] [ 0.256 -0.707] [ 1.076 1.414]] Warning...Available methods are: ‘yeo-johnson’ [1] , works with positive and negative...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.power_transform.html -
linear_kernel — scikit-learn 1.8.0 docume...
[ 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 -
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 -
BiclusterMixin — scikit-learn 1.8.0 docum...
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 -
Orthogonal Matching Pursuit — scikit-lear...
1 , 1 ) plt . xlim ( 0 , 512 ) plt...make_sparse_coded_signal ( n_samples = 1 , n_components = n_components...scikit-learn.org/stable/auto_examples/linear_model/plot_omp.html -
get_scorer — scikit-learn 1.8.0 documenta...
1 , - 1 , - 0.5 , 2 ], ( - 1 , 1 )) >>>...>>> y = np . array ([ 0 , 1 , 1 , 0 , 1 ]) >>> classifier...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html