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Adjustment for chance in clustering performance...
linspace ( 2 , n_samples , 10 ) . astype ( int ) plt . figure ( 2 ) plots...n_clusters_range = np . linspace ( 2 , 100 , 10 ) . astype ( int )...scikit-learn.org/stable/auto_examples/cluster/plot_adjusted_for_chance_measures.html -
type_of_target — scikit-learn 1.8.0 documentation
2.0 ]) 'binary' >>> type_of_target ([ 1 , 0 , 2 ]) 'multiclass'...> 1. ‘binary’: y contains <= 2 discrete values and is 1d or a...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.type_of_target.html -
Elastic BBQ: Better Binary Quantization in Luce...
( 1 < < 0 ) + ( 2 < < 1 ) + ( 1 < < 2 ) + ( 2 < < 3 ) = 25 = ...= ( 1 << 0 ) + ( 2 << 1 ) + ( 1 << 2 ) + ( 2 << 3 ) = 25 Same...www.elastic.co/search-labs/blog/better-binary-quantization-lucene-elasticsearch -
plot_classifier_comparison.rst.txt
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
indexable — scikit-learn 1.8.0 documentation
2 , 3 ], np . array ([ 2 , 3 , 4 ]), None ,...indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None, <...Sparse...dtype...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
7.8. Pairwise metrics, Affinities and Kernels —...
for all a and b 2. d ( a , b ) == 0 , if and only...pairwise_kernels >>> X = np . array ([[ 2 , 3 ], [ 3 , 5 ], [ 5 , 8 ]])...scikit-learn.org/stable/modules/metrics.html -
non_negative_factorization — scikit-learn 1.8.0...
||H||_{Fro}^2,\end{aligned}\end{align} \] where \(||A||_{Fro}^2 = \sum_{i,j}...array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
homogeneity_completeness_v_measure — scikit-lea...
2 , 2 ], [ 0 , 0 , 1 , 2 , 2 , 2 ] >>> homogen...scikit-learn.org/stable/modules/generated/sklearn.metrics.homogeneity_completeness_v_measure.html -
EllipticEnvelope — scikit-learn 1.8.0 documenta...
(n_samples + n_features + 1) / 2 * n_samples . Range is (0, 1)....with n_samples > n_features ** 2 . References [ 1 ] Rousseeuw,...scikit-learn.org/stable/modules/generated/sklearn.covariance.EllipticEnvelope.html -
SelectorMixin — scikit-learn 1.8.0 documentation
mask [: 2 ] = True # select the first two...fit_transform ( X , y ) . shape (150, 2) fit_transform ( X , y = None...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html