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PairwiseKernel — scikit-learn 1.7.2 documentation
PairwiseKernel ( gamma = 1.0 , gamma_bounds = (1e-05, 100000.0)...Parameters : gamma float, default=1.0 Parameter gamma of the pairwise...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.PairwiseKernel.html -
Parallel — scikit-learn 1.7.2 documentation
Added in version 1.3. __call__ ( iterable ) [source]...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.Parallel.html -
Sample pipeline for text feature extraction and...
array([1.e-06, 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00,...1.e+00, 1.e+01, 1.e+02, 1.e+03, 1.e+04, 1.e+05, 1.e+06]), 'vect__max_df':...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
HTTP configuration options | APM .NET Agent Ref...
CaptureBody (performance) ( [ 1.0.1 ] Added in 1.0.1. ) For transactions... (performance) ( [ 1.0.1 ] Added in 1.0.1. ) Configures the content...www.elastic.co/guide/en/apm/agent/dotnet/current/config-http.html -
Varying regularization in Multi-layer Perceptro...
logspace ( - 1 , 1 , 5 ) classifiers = [] names..., y_max = X [:, 1 ] . min () - 0.5 , X [:, 1 ] . max () + 0.5...scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_alpha.html -
Explicit feature map approximation for RBF kern...
reshape ( - 1 , data . shape [ 1 ]) # title for the plots...y_max]. plt . subplot ( 1 , 3 , i + 1 ) Z = clf . predict ( flat_grid...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
Poisson regression and non-normal loss — scikit...
Region 0 1.0 1 0.10000 D 5 0 55 50 B12 'Regular' 1217 R82 1 3.0 1...1 0.77000 D 5 0 55 50 B12 'Regular' 1217 R82 2 5.0 1 0.75000...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
Swiss Roll And Swiss-Hole Reduction — scikit-le...
) axs [ 1 ] . scatter ( sr_tsne [:, 0 ], sr_tsne [:, 1 ], c =...) axs [ 1 ] . scatter ( sh_tsne [:, 0 ], sh_tsne [:, 1 ], c =...scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html -
Lasso model selection via information criteria ...
lasso_lars_ic [ - 1 ] . criterion_ , n_samples , lasso_lars_ic [ - 1 ] . noise_variance_...lasso_lars_ic [ - 1 ] . alphas_ == lasso_lars_ic [ - 1 ] . alpha_ )[...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_lars_ic.html -
Recursive feature elimination with cross-valida...
n_clusters_per_class = 1 , class_sep = 0.8 , random_state...StratifiedKFold min_features_to_select = 1 # Minimum number of features to...scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html