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mutual_info_classif — scikit-learn 1.7.1 docume...
Gallery examples: Selecting dimensionality reduction with Pipeline and GridSearchCVscikit-learn.org/stable/modules/generated/sklearn.feature_selection.mutual_info_classif.html -
make_s_curve — scikit-learn 1.7.1 documentation
Gallery examples: Comparison of Manifold Learning methods t-SNE: The effect of various perplexity values on the shapescikit-learn.org/stable/modules/generated/sklearn.datasets.make_s_curve.html -
non_negative_factorization — scikit-learn 1.7.1...
Skip to main content Back to top Ctrl + K GitHub Choose version non_negative_factorization # sklearn.decomposition. n...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
fetch_lfw_people — scikit-learn 1.7.1 documenta...
Gallery examples: Faces recognition example using eigenfaces and SVMsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
load_sample_images — scikit-learn 1.7.1 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_images # sklearn.datasets. load_sample_im...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_images.html -
make_column_transformer — scikit-learn 1.7.1 do...
Gallery examples: Categorical Feature Support in Gradient Boosting Combine predictors using stacking Common pitfalls in the interpretation of coefficients of linear models Displaying estimators and...scikit-learn.org/stable/modules/generated/sklearn.compose.make_column_transformer.html -
sklearn.feature_selection — scikit-learn 1.7.1 ...
Feature selection algorithms. These include univariate filter selection methods and the recursive feature elimination algorithm. User guide. See the Feature selection section for further details.scikit-learn.org/stable/api/sklearn.feature_selection.html -
paired_cosine_distances — scikit-learn 1.7.1 do...
Skip to main content Back to top Ctrl + K GitHub Choose version paired_cosine_distances # sklearn.metrics.pairwise. p...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.paired_cosine_distances.html -
cross_val_predict — scikit-learn 1.7.1 document...
Gallery examples: Combine predictors using stacking Plotting Cross-Validated Predictionsscikit-learn.org/stable/modules/generated/sklearn.model_selection.cross_val_predict.html -
sklearn.model_selection — scikit-learn 1.7.1 do...
Tools for model selection, such as cross validation and hyper-parameter tuning. User guide. See the Cross-validation: evaluating estimator performance, Tuning the hyper-parameters of an estimator, ...scikit-learn.org/stable/api/sklearn.model_selection.html