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fastica — scikit-learn 1.5.0 documentation
The implementation is based on [1] . Read more in the User Guide...performed. Changed in version 1.3: The default value of whiten...scikit-learn.org/stable/modules/generated/fastica-function.html -
ClusterMixin — scikit-learn 1.5.0 documentation
fit_predict ( X ) array([1, 1, 1]) fit_predict ( X , y = None...) ... return self >>> X = [[ 1 , 2 ], [ 2 , 3 ], [ 3 , 4 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.base.ClusterMixin.html -
GaussianRandomProjection — scikit-learn 1.5.0 d...
Added in version 1.1. n_features_in_ int Number of...n_components = 'auto' , * , eps = 0.1 , compute_inverse_components =...scikit-learn.org/stable/modules/generated/sklearn.random_projection.GaussianRandomProjection.html -
AdditiveChi2Sampler — scikit-learn 1.5.0 docume...
transformed into 2*sample_steps-1 features, where sample_steps is...values of sample_steps include 1, 2 and 3. Optimal choices for...scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html -
LabelPropagation — scikit-learn 1.5.0 documenta...
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. n_iter_ int Number of iterations...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html -
Version 1.1 — scikit-learn 1.5.0 documentation
Version 1.1.0 # May 2022 Minimal dependencies # Version 1.1.0 of...#23273 by Thomas Fan . Version 1.1.1 # May 2022 Changelog # Enhancement...scikit-learn.org/stable/whats_new/v1.1.html -
SelectFpr — scikit-learn 1.5.0 documentation
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.SelectFpr.html -
indexable — scikit-learn 1.5.0 documentation
[ 1 , 2 , 3 ], np . array ([ 2 , 3...>>> indexable ( * iterables ) [[1, 2, 3], array([2, 3, 4]), None,...scikit-learn.org/stable/modules/generated/sklearn.utils.indexable.html -
FactorAnalysis — scikit-learn 1.5.0 documentation
Added in version 1.0. See also PCA Principal component...Machine Learning, Algorithm 21.1. Christopher M. Bishop: Pattern...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FactorAnalysis.html -
Kernel PCA — scikit-learn 1.5.0 documentation
1 ], c = y_train ) train_ax . set_ylabel ( "Feature #1" )...= make_circles ( n_samples = 1_000 , factor = 0.3 , noise = 0.05...scikit-learn.org/stable/auto_examples/decomposition/plot_kernel_pca.html