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kernel_metrics — scikit-learn 1.7.1 documentation
el ‘rbf’ sklearn.pairwise.rbf_kernel ‘laplacian’ sklearn.pai...sklearn.pairwise.additive_chi2_kernel ‘chi2’ sklearn.pairwise.chi2_kernel ‘linear’...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.kernel_metrics.html -
BernoulliNB — scikit-learn 1.7.1 documentation
size = ( 6 , 100 )) >>> Y = np . array ([ 1 , 2 , 3 , 4 , 4 , 5 ])...Press, pp. 234-265. https://nlp.stanford.edu/IR-book/html/html...scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html -
SelectFromModel — scikit-learn 1.7.1 documentation
- 1.34 , 0.31 ], ... [ - 2.79 , - 0.02 , - 0.85 ], ... [ - 1.34...1.34 , - 0.48 , - 2.55 ], ... [ 1.92 , 1.48 , 0.65 ]] >>> y =...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFromModel.html -
KernelCenterer — scikit-learn 1.7.1 documentation
2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]] >>> K =...transformer . transform ( K ) array([[ 5., 0., -5.], [ 0., 14., -14.],...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KernelCenterer.html -
cross_val_score — scikit-learn 1.7.1 documentation
instead. E.g.: cross_val_score(..., params={'groups': groups})...print ( cross_val_score ( lasso , X , y , cv = 3 )) [0.3315057...scikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_score.html -
MaxAbsScaler — scikit-learn 1.7.1 documentation
2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , - 1. ]] >>> transformer...transformer . transform ( X ) array([[ 0.5, -1. , 1. ], [ 1. , 0. , 0....scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html -
make_regression — scikit-learn 1.7.1 documentation
[-0.2341, -0.2341], [-0.4694, 0.5425], [ 1.579, 0.7674]]) >>> y...42 ) >>> X array([[ 0.4967, -0.1382 ], [ 0.6476, 1.523], [-0.2341,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_regression.html -
chi2 — scikit-learn 1.7.1 documentation
1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0 , 0 , 0 ]])...np . array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 ,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html -
make_friedman3 — scikit-learn 1.7.1 documentation
] * X [:, 3 ])) / X [:, 0 ]) + noise * N ( 0 , 1 ) . Read more...[np.float64(1.54), np.float64(0.956), np.float64(0.414)] On this page...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman3.html -
paired_cosine_distances — scikit-learn 1.7.1 do...
= [[ 0 , 0 , 0 ], [ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 ,..., 1 , 0 ]] >>> paired_cosine_distances ( X , Y ) array([0.5 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html