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mutual_info_score — scikit-learn 1.7.2 document...
Gallery examples: Adjustment for chance in clustering performance evaluationscikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
l1_min_c — scikit-learn 1.7.2 documentation
Gallery examples: Regularization path of L1- Logistic Regressionscikit-learn.org/stable/modules/generated/sklearn.svm.l1_min_c.html -
make_column_transformer — scikit-learn 1.7.2 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.neural_network — scikit-learn 1.7.2 doc...
Models based on neural networks. User guide. See the Neural network models (supervised) and Neural network models (unsupervised) sections for further details.scikit-learn.org/stable/api/sklearn.neural_network.html -
sklearn.feature_selection — scikit-learn 1.7.2 ...
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 -
sklearn.model_selection — scikit-learn 1.7.2 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 -
make_s_curve — scikit-learn 1.7.2 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 -
orthogonal_mp_gram — scikit-learn 1.7.2 documen...
Skip to main content Back to top Ctrl + K GitHub Choose version orthogonal_mp_gram # sklearn.linear_model. orthogonal...scikit-learn.org/stable/modules/generated/sklearn.linear_model.orthogonal_mp_gram.html -
fetch_lfw_people — scikit-learn 1.7.2 documenta...
Gallery examples: Faces recognition example using eigenfaces and SVMsscikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_lfw_people.html -
get_data_home — scikit-learn 1.7.2 documentation
Gallery examples: Out-of-core classification of text documentsscikit-learn.org/stable/modules/generated/sklearn.datasets.get_data_home.html