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fetch_covtype — scikit-learn 1.7.2 documentation
Gallery examples: Scalable learning with polynomial kernel approximation Evaluation of outlier detection estimators Release Highlights for scikit-learn 0.24scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_covtype.html -
sklearn.compose — scikit-learn 1.7.2 documentation
Meta-estimators for building composite models with transformers. In addition to its current contents, this module will eventually be home to refurbished versions of Pipeline and FeatureUnion. User ...scikit-learn.org/stable/api/sklearn.compose.html -
sklearn.impute — scikit-learn 1.7.2 documentation
Transformers for missing value imputation. User guide. See the Imputation of missing values section for further details.scikit-learn.org/stable/api/sklearn.impute.html -
sklearn.isotonic — scikit-learn 1.7.2 documenta...
Isotonic regression for obtaining monotonic fit to data. User guide. See the Isotonic regression section for further details.scikit-learn.org/stable/api/sklearn.isotonic.html -
laplacian_kernel — scikit-learn 1.7.2 documenta...
Skip to main content Back to top Ctrl + K GitHub Choose version laplacian_kernel # sklearn.metrics.pairwise. laplacia...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.laplacian_kernel.html -
RationalQuadratic — scikit-learn 1.7.2 document...
x_j)^2 }{ 2\alpha l^2}\right)^{-\alpha}\] where...>>> gpc . predict_proba ( X [: 2 ,:]) array([[0.8881, 0.0566, 0.05518],...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
L1 Penalty and Sparsity in Logistic Regression ...
%s " % l1_ratio ) axes_row [ 2 ] . set_title ( "L2 penalty" )...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html -
class_likelihood_ratios — scikit-learn 1.7.2 do...
scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
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 -
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2)", "-moz-box-shadow": "0 1px 1px...2px 0px rgba(82, 168, 236, 0.2)", "box-shadow": "0 1px 1px 0px...fess.codelibs.org/ja/15.2/config/search-form.html