Support#

There are several channels to connect with scikit-learn developers for assistance, feedback, or contributions.

Note: Communications on all channels should respect our Code of Conduct.

Mailing Lists#

• Main Mailing List: Join the primary discussion platform for scikit-learn at scikit-learn Mailing List.

• Commit Updates: Stay informed about repository updates and test failures on the scikit-learn-commits list.

User Questions#

If you have questions, this is our general workflow.

• Stack Overflow: Some scikit-learn developers support users using the [scikit-learn] tag.

• General Machine Learning Queries: For broader machine learning discussions, visit Stack Exchange.

When posting questions:

• Please use a descriptive question in the title field (e.g. no Please help with scikit-learn! as this is not a question)

• Provide detailed context, expected results, and actual observations.

• Include code and data snippets (preferably minimalistic scripts, up to ~20 lines).

• Describe your data and preprocessing steps, including sample size, feature types (categorical or numerical), and the target for supervised learning tasks (classification type or regression).

Note: Avoid asking user questions on the bug tracker to keep the focus on development.

• GitHub Discussions Usage questions such as methodological

• Stack Overflow Programming/user questions with [scikit-learn] tag

• GitHub Bug Tracker Bug reports - Please do not ask usage questions on the issue tracker.

• Discord Server Current pull requests - Post any specific PR-related questions on your PR, and you can share a link to your PR on this server.

Bug Tracker#

Encountered a bug? Report it on our issue tracker

Include in your report:

• Steps or scripts to reproduce the bug.

• Expected and observed outcomes.

• Python or gdb tracebacks, if applicable.

• The ideal bug report contains a short reproducible code snippet, this way anyone can try to reproduce the bug easily.

• If your snippet is longer than around 50 lines, please link to a gist or a github repo.

Tip: Gists are Git repositories; you can push data files to them using Git.

Paid support#

The following companies (listed in alphabetical order) offer support services related to scikit-learn and have a proven track record of employing long-term maintainers of scikit-learn and related open source projects:

• :probabl.

• Quansight

Social Media#

scikit-learn has presence on various social media platforms to share updates with the community. The platforms are not monitored for user questions.

Gitter#

Note: The scikit-learn Gitter room is no longer an active community. For live discussions and support, please refer to the other channels mentioned in this document.

Documentation Resources#

This documentation is for 1.10.dev0. Documentation for other versions can be found here, including zip archives which can be downloaded for offline access.

We no longer provide a PDF version of the documentation, but you can still generate it locally by following the building documentation instructions. The most recent version with a PDF documentation is quite old, 0.23.2 (released in August 2020), but the PDF is available here.