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GenericUnivariateSelect — scikit-learn 1.8.0 do...
Added in version 1.0. See also f_classif ANOVA F-value..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.GenericUnivariateSelect.html -
SelectKBest — scikit-learn 1.8.0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 On this page...all strings. Added in version 1.0. See also f_classif ANOVA F-value...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectKBest.html -
Importance of Feature Scaling — scikit-learn 1....
it has a standard deviation of 1 and a mean of 0. Even if tree...variable “hue” varies between 1 and 10. Because of this, distances...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Comparing Linear Bayesian Regressors — scikit-l...
1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Comparison of Manifold Learning methods — sciki...
MultipleLocator ( 1 )) ax . yaxis . set_major_locator...( ticker . MultipleLocator ( 1 )) ax . zaxis . set_major_locator...scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html -
Probability calibration of classifiers — scikit...
51 )[ 1 :: 2 ], y_test [ order ] . reshape ( 25 , - 1 ) . mean...] = 0 y [ n_samples // 2 :] = 1 sample_weight = np . random ....scikit-learn.org/stable/auto_examples/calibration/plot_calibration.html -
An example of K-Means++ initialization — scikit...
:: - 1 ] # Calculate seeds from k-means++...side sample data plt . figure ( 1 ) colors = [ "#4EACC5" , "#FF9C34"...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_plusplus.html -
OOB Errors for Random Forests — scikit-learn 1....
validated whilst being trained [ 1 ] . The example below demonstrates...= 25 , n_clusters_per_class = 1 , n_informative = 15 , random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html -
Compare cross decomposition methods — scikit-le...
[[ 1. 0.48 -0.01 0. ] [ 0.48 1. -0.01 0. ] [-0.01 -0.01 1. 0.49]...0. 0.49 1. ]] Corr(Y) [[ 1. 0.47 0.03 0.05] [ 0.47 1. 0.03 -0.01]...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
FastICA on 2D point clouds — scikit-learn 1.8.0...
array ([[ 1 , 1 ], [ 0 , 2 ]]) # Mixing matrix...( 42 ) S = rng . standard_t ( 1.5 , size = ( 20000 , 2 )) S [:,...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html