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Installing the development version of scikit-le...
git # add --depth 1 if your connection is slow cd...only supported in pip version 23.1 or later. To upgrade pip to a...scikit-learn.org/stable/developers/advanced_installation.html -
MetaEstimatorMixin — scikit-learn 1.7.1 documen...
Changed in version 1.6: The _required_parameters is...scikit-learn.org/stable/modules/generated/sklearn.base.MetaEstimatorMixin.html -
7.9. Transforming the prediction target (y) — s...
1, 1, 1], [0, 0, 1, 0, 0], [1, 1, 0, 1, 0], [1, 1, 1, 1,...1, 1], [1, 1, 1, 0, 0]]) For more information about multilabel...scikit-learn.org/stable/modules/preprocessing_targets.html -
Shrinkage covariance estimation: LedoitWolf vs ...
ylim ()[ 1 ] - plt . ylim ()[ 0 ])) ymax...shrinkages [ 0 ] xmax = shrinkages [ - 1 ] # LW likelihood plt . vlines...scikit-learn.org/stable/auto_examples/covariance/plot_covariance_estimation.html -
Release Highlights — scikit-learn 1.7.1 documen...
scikit-learn 1.1 Release Highlights for scikit-learn 1.1 Release Highlights...scikit-learn 1.7 Release Highlights for scikit-learn 1.7 Release...scikit-learn.org/stable/auto_examples/release_highlights/index.html -
is_regressor — scikit-learn 1.7.1 documentation
Skip to main content Back to top Ctrl + K GitHub Choose version is_regressor # sklearn.base. is_regressor ( estimator...scikit-learn.org/stable/modules/generated/sklearn.base.is_regressor.html -
About us — scikit-learn 1.7.1 documentation
History: This project was started in 2007 as a Google Summer of Code project by David Cournapeau. Later that year, Matthieu Brucher started working on this project as part of his thesis. In 2010 Fa...scikit-learn.org/stable/about.html -
Manifold learning — scikit-learn 1.7.1 document...
Examples concerning the sklearn.manifold module. Comparison of Manifold Learning methods Manifold Learning methods on a severed sphere Manifold learning on handwritten digits: Locally Linear Embedd...scikit-learn.org/stable/auto_examples/manifold/index.html -
Neural Networks — scikit-learn 1.7.1 documentation
Examples concerning the sklearn.neural_network module. Compare Stochastic learning strategies for MLPClassifier Restricted Boltzmann Machine features for digit classification Varying regularization...scikit-learn.org/stable/auto_examples/neural_networks/index.html -
Multilabel classification — scikit-learn 1.7.1 ...
1 ]) max_y = np . max ( X [:, 1 ]) classif = OneVsRestClassifier...[:, 1 ]) . nonzero () plt . scatter ( X [:, 0 ], X [:, 1 ], s...scikit-learn.org/stable/auto_examples/miscellaneous/plot_multilabel.html