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sklearn.multioutput — scikit-learn 1.7.2 docume...
Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...scikit-learn.org/stable/api/sklearn.multioutput.html -
sklearn.pipeline — scikit-learn 1.7.2 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
show_versions — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version show_versions # sklearn. show_versions ( ) [source] #...scikit-learn.org/stable/modules/generated/sklearn.show_versions.html -
load_linnerud — scikit-learn 1.7.2 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version load_linnerud # sklearn.datasets. load_linnerud ( * ,...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html -
LarsCV — scikit-learn 1.7.2 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also lars_path Compute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
Ledoit-Wolf vs OAS estimation — scikit-learn 1....
covariance matrix (AR(1) process) r = 0.1 real_cov = toeplitz (...plot MSE plt . subplot ( 2 , 1 , 1 ) plt . errorbar ( n_samples_range...scikit-learn.org/stable/auto_examples/covariance/plot_lw_vs_oas.html -
LeaveOneOut — scikit-learn 1.7.2 documentation
array ([[ 1 , 2 ], [ 3 , 4 ]]) >>> y = np . array ([ 1 , 2 ]) >>>...0: Train: index=[1] Test: index=[0] Fold 1: Train: index=[0]...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html -
fastica — scikit-learn 1.7.2 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 -
GaussianRandomProjection — scikit-learn 1.7.2 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 -
ClusterMixin — scikit-learn 1.7.2 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