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Version 1.3 — scikit-learn 1.5.2 documentation
2 # October 2023 Changelog # sklearn.datasets...bors.kneighbors is now up to 2 times faster for this case on...scikit-learn.org/stable/whats_new/v1.3.html -
Map data to a normal distribution — scikit-lear...
figaspect ( 2 )) axes = axes . flatten () axes_idxs..., 9 ), ( 1 , 4 , 7 , 10 ), ( 2 , 5 , 8 , 11 ), ( 12 , 15 , 18...scikit-learn.org/stable/auto_examples/preprocessing/plot_map_data_to_normal.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 -
Scalable learning with polynomial kernel approx...
= 2 ] = 0 y [ y == 2 ] = 1 # We will try to...ones. We use the Covtype dataset [2], trying to reproduce the experiments...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
Scaling the regularization parameter for SVCs —...
logspace ( - 2.3 , - 1.3 , 10 ) train_sizes =...param_range = Cs , cv = cv , n_jobs = 2 , ) results [ label ] = test_scores...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
Effect of varying threshold for self-training —...
capsize = 2 , color = "b" ) ax1 . set_ylabel.... std ( axis = 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Neighborhood Components Analysis Illustration —...
n_features = 2 , n_informative = 2 , n_redundant = 0 ,...fit ( X , y ) plt . figure ( 2 ) ax2 = plt . gca () X_embedded...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Imputing missing values before building an esti...
mses_california [ 2 ], stds_california [ 2 ] = get_impute_knn_score...y_miss_california ) mses_diabetes [ 2 ], stds_diabetes [ 2 ] = get_impute_knn_score...scikit-learn.org/stable/auto_examples/impute/plot_missing_values.html -
A demo of the Spectral Biclustering algorithm —...
column_labels_ range from 0 to 2, representing a total of 4 clusters...scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html -
Column Transformer with Mixed Types — scikit-le...
float64 dtypes: category(2), float64(2), int64(1) memory usage:...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Gallery generated...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html