scikit-learn 1.5.2

A set of python modules for machine learning and data mining

Stars: 59744, Watchers: 59744, Forks: 25330, Open Issues: 2127

The scikit-learn/scikit-learn repo was created 14 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 59744 github stars!

How to Install scikit-learn

You can install scikit-learn using pip

pip install scikit-learn

or add it to a project with poetry

poetry add scikit-learn

Package Details

Author

None

License

BSD 3-Clause License Copyright (c) 2007-2024 The scikit-learn developers. All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: * Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. * Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. * Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Homepage

https://scikit-learn.org

PyPi:

https://pypi.org/project/scikit-learn/

GitHub Repo:

https://github.com/scikit-learn/scikit-learn

Classifiers

• Scientific/Engineering
• Software Development

Related Packages

Errors

A list of common scikit-learn errors.

Code Examples

Here are some scikit-learn code examples and snippets.

GitHub Issues

The scikit-learn package has 2127 open issues on GitHub

• MNT Add validation for parameter alphas in LassoCV
• BUG Fixes division by zero in PCA get_precision
• DOC Adjust class style to match previous style
• Add Lasso regularization to PoissonRegressor
• MAINT Plug PairwiseDistancesArgKmin as a back-end
• MAINT Adjust tests for numpydoc 1.2
• ENH Support 2d y_score with 2 classes in top_k_accuracy_score w/ labels
• ENH Improve error message for top_k_accuracy_score
• BUG? LinearSVC with hinge loss and L2 penalty, solver='liblinear' seems to get stuck compared to other solvers
• [MRG] Update gridsearch example for multimetric scoring.
• #22229
• ENH Replaced RandomState-specific calls to equivalent calls that match signature with Generator calls
• [MRG] Adding variable force_alpha to classes in naive_bayes.py
• ENH Optimise decomposition.FastICA.fit memory footprint and runtime
• DOC Ensures that sklearn.datasets._base.load_breast_cancer passes numpydoc validation

See more issues on GitHub