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1.1. Linear Models — scikit-learn 1.4.2 documen...
1.1. Linear Models 1.1.1. Ordinary Least Squares 1.1.1.1.... 1.e-05, 1.e-04, 1.e-03, 1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02,...scikit-learn.org/stable/modules/linear_model.html -
Version 1.3 — scikit-learn 1.4.2 documentation
Version 1.3 Version 1.3.2 Changelog sklearn.datasets...sklearn.metrics sklearn.tree Version 1.3.1 Changed models Changes impacting...scikit-learn.org/stable/whats_new/v1.3.html -
Older Versions — scikit-learn 1.4.2 documentation
1 Meng Xinfan 1 Rob Zinkov 1 Shiqiao 1 Udi Weinsberg 1 Virgile...Cournapeau 1 Keith Goodman 1 Ludwig Schwardt 1 Olivier Hervieu 1 Sergio...scikit-learn.org/stable/whats_new/older_versions.html -
Version 1.4 — scikit-learn 1.4.2 documentation
Version 1.4 Version 1.4.2 Version 1.4.1.post1 Metadata...2. Version 1.4.1.post1 February 2024 Note The 1.4.1.post1 release...scikit-learn.org/stable/whats_new/v1.4.html -
Version 1.2 — scikit-learn 1.4.2 documentation
is deprecated in 1.2.1 and will be removed in 1.5. Instead, import...use the software. Version 1.2 Version 1.2.2 Changelog sklearn.base...scikit-learn.org/stable/whats_new/v1.2.html -
Examples — scikit-learn 1.6.dev0 documentation
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Release...scikit-learn.org/dev/auto_examples/index.html -
Contributing — scikit-learn 1.4.2 documentation
Menu Prev Up Next scikit-learn 1.4.2 Other versions Please cite...ikit-learn.git # add --depth 1 if your connection is slow cd...scikit-learn.org/stable/developers/contributing.html -
3.1. Cross-validation: evaluating estimator per...
1.1. Computing cross-validated metrics 3.1.1.1. The cross_validate...3.1.2.1.1. K-fold 3.1.2.1.2. Repeated K-Fold 3.1.2.1.3. Leave One Out...scikit-learn.org/stable/modules/cross_validation.html -
6.3. Preprocessing data — scikit-learn 1.4.2 do...
1. , 0.1], [4.4, 2.2, 1.1, 0.1], [4.4, 2.2, 1.2, 0.1], ...,...array([[1., 0., 0., 1., 0., 1.], [0., 1., 1., 0., 0., 1.]]) By...scikit-learn.org/stable/modules/preprocessing.html -
6.2. Feature extraction — scikit-learn 1.4.2 do...
array([[1, 1, 1, 0, 1, 1, 1, 0], [1, 1, 0, 1, 1, 1, 0, 1]]) In...array([[0, 1, 1, 1, 0, 0, 1, 0, 1], [0, 1, 0, 1, 0, 2, 1, 0, 1], [1,...scikit-learn.org/stable/modules/feature_extraction.html