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quantile_transform — scikit-learn 1.8.0 d...
otherwise (if 1) transform each sample. n_quantiles...subsample=None . Added in version 1.5: The option None to disable...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html -
sklearn.cluster — scikit-learn 1.8.0 docu...
2003) [R2af9f5762274-1] . SpectralClustering Apply clustering...(Dhillon, 2001) [R0dd0f3306ba7-1] . affinity_propagation Perform...scikit-learn.org/stable/api/sklearn.cluster.html -
validation_curve — scikit-learn 1.8.0 doc...
means 1 unless in a joblib.parallel_backend context. -1 means...GroupKFold ). Changed in version 1.6: groups can only be passed if...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
export_text — scikit-learn 1.8.0 document...
<= 1.75 | | |--- class: 1 | |--- petal width (cm) > 1.75 |...decision_tree.classes_ . Added in version 1.3. max_depth int, default=10 Only...scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html -
fast_logdet — scikit-learn 1.8.0 document...
scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
Incremental PCA — scikit-learn 1.8.0 docu...
scatterpoints = 1 ) plt . axis ([ - 4 , 4 , - 1.5 , 1.5 ]) plt . show...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ):...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
check_increasing — scikit-learn 1.8.0 doc...
scikit-learn.org/stable/modules/generated/sklearn.isotonic.check_increasing.html -
calinski_harabasz_score — scikit-learn 1....
scikit-learn.org/stable/modules/generated/sklearn.metrics.calinski_harabasz_score.html -
Vector Quantization Example — scikit-lear...
bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
3.1. Cross-validation: evaluating estimator per...
3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3] [0 1]...= [ 1 , 1 , 1 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2...scikit-learn.org/stable/modules/cross_validation.html