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Scaling the regularization parameter for SVCs —...
7 ) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...0.8 ) axes [ 1 ] . set_title ( "Scaling C by sqrt(1 / n_samples)"...scikit-learn.org/stable/auto_examples/svm/plot_svm_scale_c.html -
Sparse coding with a precomputed dictionary — s...
subplot ( 1 , 2 , subplot + 1 ) plt . title ( "Sparse...transform ( y . reshape ( 1 , - 1 )) density = len ( np . flatnonzero...scikit-learn.org/stable/auto_examples/decomposition/plot_sparse_coding.html -
Multi-dimensional scaling — scikit-learn 1.6.1 ...
figure ( 1 ) ax = plt . axes ([ 0.0 , 0.0 , 1.0 , 1.0 ]) s =...random_state = seed , n_jobs = 1 , n_init = 1 , ) npos = nmds . fit_transform...scikit-learn.org/stable/auto_examples/manifold/plot_mds.html -
Neighborhood Components Analysis Illustration —...
n_clusters_per_class = 1 , class_sep = 1.0 , random_state = 0 ,...], pt_j [ 0 ]], [ pt_i [ 1 ], pt_j [ 1 ]]) ax . plot ( * line ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_illustration.html -
Version 0.24 — scikit-learn 1.6.1 documentation
deprecated and will be removed in 1.1 (renaming of 0.26). #17864 by...grid_scores_ will be removed in version 1.1 (renaming of 0.26). #16392 by...scikit-learn.org/stable/whats_new/v0.24.html -
Column Transformer with Mixed Types — scikit-le...
1 , 1.0 , 10 , 100 ], } search_cv...param_distributions={'classifier__C': [0.1, 1.0, 10, 100], 'preprocessor_...scikit-learn.org/stable/auto_examples/compose/plot_column_transformer_mixed_types.html -
check_is_fitted — scikit-learn 1.6.1 documentation
fit ([[ 1 , 2 ], [ 1 , 3 ]], [ 1 , 0 ]) LogisticRegression()...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html -
TransformerTags — scikit-learn 1.6.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version TransformerTags # class sklearn.utils. TransformerTag...scikit-learn.org/stable/modules/generated/sklearn.utils.TransformerTags.html -
Classification — scikit-learn 1.6.1 documentation
General examples about classification algorithms. Classifier comparison Linear and Quadratic Discriminant Analysis with covariance ellipsoid Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis...scikit-learn.org/stable/auto_examples/classification/index.html -
InconsistentVersionWarning — scikit-learn 1.6.1...
Skip to main content Back to top Ctrl + K GitHub Choose version InconsistentVersionWarning # exception sklearn.except...scikit-learn.org/stable/modules/generated/sklearn.exceptions.InconsistentVersionWarning.html