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get_scorer — scikit-learn 1.7.2 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 -
mutual_info_score — scikit-learn 1.7.2 do...
1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0...as: \[MI(U,V)=\sum_{i=1}^{|U|} \sum_{j=1}^{|V|} \frac{|U_i\cap...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
chi2 — scikit-learn 1.7.2 documentation
array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 , 1 ], ......>>> y = np . array ([ 1 , 1 , 0 , 0 , 2 , 2 ]) >>>...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
RepeatedKFold — scikit-learn 1.7.2 docume...
array ([[ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ]])...>>> y = np . array ([ 0 , 0 , 1 , 1 ]) >>> rkf = RepeatedKFold...scikit-learn.org/stable/modules/generated/sklearn.model_selection.RepeatedKFold.html -
cosine_similarity — scikit-learn 1.7.2 do...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_similarity.html -
PolynomialFeatures — scikit-learn 1.7.2 d...
fit_transform ( X ) array([[ 1., 0., 1., 0., 0., 1.], [ 1., 2., 3., 4., 6.,...) array([[ 1., 0., 1., 0.], [ 1., 2., 3., 6.], [ 1., 4., 5., 20.]])...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.PolynomialFeatures.html -
Release Highlights for scikit-learn 1.7 —...
scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Release...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_7_0.html -
RBFSampler — scikit-learn 1.7.2 documenta...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...version 1.2: The option "scale" was added in 1.2. n_components...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.RBFSampler.html -
7.7. Kernel Approximation — scikit-learn ...
[ 1 , 1 ], [ 1 , 0 ], [ 0 , 1 ]] >>> y...\Lambda^{-1}\right) \Lambda \left(K_{21} U_1 \Lambda^{-1}\right)^T...scikit-learn.org/stable/modules/kernel_approximation.html -
permutation_importance — scikit-learn 1.7...
>>> X = [[ 1 , 9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [..., 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html