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=======
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 <https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md>`_.
.. _announcements_and_notification:
Mailing Lists
=============
- **Main Mailing List**: Join the primary discussion
platform for scikit-learn at `scikit-learn Mailing List
<https://mail.python.org/mailman/listinfo/scikitlearn>`_.
- **Commit Updates**: Stay informed about repository
updates and test failures on the `scikit-learn-commits list
<https://lists.sourceforge.net/lists/listinfo/scikit-learn-commits>`_.
.. _user_questions:
User Questions
==============
If you have questions, this is our general workflow.
- **Stack Overflow**: Some scikit-learn developers support users using the
`[scikit-learn] <https://stackoverflow.com/questions/tagged/scikit-learn>`_
tag.
- **General Machine Learning Queries**: For broader machine learning
discussions, visit `Stack Exchange <https://stats.stackexchange.com/>`_.
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 <https://github.com/scikit-learn/scikit-learn/discussions>`_
Usage questions such as methodological
- `Stack Overflow <https://stackoverflow.com/questions/tagged/scikit-learn>`_
Programming/user questions with `[scikit-learn]` tag
- `GitHub Bug Tracker <https://github.com/scikit-learn/scikit-learn/issues>`_
Bug reports - Please do not ask usage questions on the issue tracker.
- `Discord Server <https://discord.gg/h9qyrK8Jc8>`_
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:
Bug Tracker
===========
Encountered a bug? Report it on our `issue tracker
<https://github.com/scikit-learn/scikit-learn/issues>`_
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 :ref:`short reproducible code snippet
<minimal_reproducer>`, this way anyone can try to reproduce the bug easily.
- If your snippet is longer than around 50 lines, please link to a
`gist <https://gist.github.com>`_ 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. <https://support.probabl.ai/?utm_source=scikit_learn_docs&utm_medium=documentation&utm_campaign=pro_support>`__
- `Quansight <https://quansight.com/open-source-services>`__
.. _social_media:
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:
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:
Documentation Resources
=======================
This documentation is for |release|. Documentation for other versions can be found `here
<https://scikit-learn.org/dev/versions.html>`__, 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 :ref:`building documentation instructions <building_documentation>`.
The most recent version with a PDF documentation is quite old, 0.23.2 (released
in August 2020), but the PDF is available `here
<https://scikit-learn.org/0.23/_downloads/scikit-learn-docs.pdf>`__.
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