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brier_score_loss — scikit-learn 1.7.1 documenta...
y_prob = np . array ([ 0.1 , 0.9 , 0.8 , 0.3 ]) >>> brier_score_loss...y_true_categorical = np . array ([ "spam" , "ham" , "ham" , "spam" ]) >>> y_prob...scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html -
average_precision_score — scikit-learn 1.7.1 do...
0.1 ], ... [ 0.4 , 0.3 , 0.3 ], ... [ 0.1 , 0.8 , 0.1 ], ......[ 0.2 , 0.3 , 0.5 ], ... [ 0.4 , 0.4 , 0.2 ], ... [ 0.1 , 0.2...scikit-learn.org/stable/modules/generated/sklearn.metrics.average_precision_score.html -
clustering.rst.txt
========== .. figure:: ../auto_examples/cluster/images/sphx_glr...transductive - Graph distance (e.g. nearest-neighbor graph) * - :ref:`Ward...scikit-learn.org/stable/_sources/modules/clustering.rst.txt -
fetch_20newsgroups — scikit-learn 1.7.1 documen...
array([0, 1, 1, 1, 0, 1, 1, 0, 0, 0]) Gallery examples # Topic extraction...‘~/scikit_learn_data’ subfolders. subset {‘train’, ‘test’, ‘all’}, default=’train’...scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html -
PLSCanonical — scikit-learn 1.7.1 documentation
0. , 1. ], [ 1. , 0. , 0. ], [ 2. , 2. , 2. ], [ 2. , 5. , 4....4. ]] >>> y = [[ 0.1 , - 0.2 ], [ 0.9 , 1.1 ], [ 6.2 , 5.9 ],...scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html -
make_low_rank_matrix — scikit-learn 1.7.1 docum...
= 5 , ... tail_strength = 0.01 , ... random_state = 0 , ... )...profile is: ( 1 - tail_strength ) * exp ( - 1.0 * ( i / effective_rank...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_low_rank_matrix.html -
pairwise_distances_argmin — scikit-learn 1.7.1 ...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,...‘dice’, ‘hamming’, ‘jaccard’, ‘kulsinski’, ‘mahalanobis’, ‘minkowski’,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin.html -
ValidationCurveDisplay — scikit-learn 1.7.1 doc...
test_scores , score_name = "Score" ... ) >>> display . plot () <...> >>>...instance (e.g., GroupKFold ). cv int, cross-validation generator...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
johnson_lindenstrauss_min_dim — scikit-learn 1....
n_dim ( 1e6 , eps = [ 0.5 , 0.1 , 0.01 ]) array([ 663, 11841,...im ( n_samples , * , eps = 0.1 ) [source] # Find a ‘safe’ number...scikit-learn.org/stable/modules/generated/sklearn.random_projection.johnson_lindenstrauss_min_dim... -
minmax_scale — scikit-learn 1.7.1 documentation
independently array([[0. , 0.75, 1. ], [0. , 0.5 , 1. ]]) Gallery examples...1.], [1., 0., 0.]]) >>> minmax_scale ( X , axis = 1 ) # scale each...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html