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<section id="support">
<h1>Support<a class="headerlink" href="#support" title="Permalink to this heading">¶</a></h1>
<p>There are several ways to get in touch with the developers.</p>
<section id="mailing-list">
<span id="mailing-lists"></span><h2>Mailing List<a class="headerlink" href="#mailing-list" title="Permalink to this heading">¶</a></h2>
<ul class="simple">
<li><p>The main mailing list is <a class="reference external" href="https://mail.python.org/mailman/listinfo/scikit-learn">scikit-learn</a>.</p></li>
<li><p>There is also a commit list <a class="reference external" href="https://lists.sourceforge.net/lists/listinfo/scikit-learn-commits">scikit-learn-commits</a>,
where updates to the main repository and test failures get notified.</p></li>
</ul>
</section>
<section id="user-questions">
<span id="id1"></span><h2>User questions<a class="headerlink" href="#user-questions" title="Permalink to this heading">¶</a></h2>
<ul class="simple">
<li><p>Some scikit-learn developers support users on StackOverflow using
the <a class="reference external" href="https://stackoverflow.com/questions/tagged/scikit-learn">[scikit-learn]</a>
tag.</p></li>
<li><p>For general theoretical or methodological Machine Learning questions
<a class="reference external" href="https://stats.stackexchange.com/">stack exchange</a> is probably a more
suitable venue.</p></li>
</ul>
<p>In both cases please use a descriptive question in the title field (e.g.
no “Please help with scikit-learn!” as this is not a question) and put
details on what you tried to achieve, what were the expected results and
what you observed instead in the details field.</p>
<p>Code and data snippets are welcome. Minimalistic (up to ~20 lines long)
reproduction script very helpful.</p>
<p>Please describe the nature of your data and how you preprocessed it:
what is the number of samples, what is the number and type of features
(i.d. categorical or numerical) and for supervised learning tasks,
what target are your trying to predict: binary, multiclass (1 out of
<code class="docutils literal notranslate"><span class="pre">n_classes</span></code>) or multilabel (<code class="docutils literal notranslate"><span class="pre">k</span></code> out of <code class="docutils literal notranslate"><span class="pre">n_classes</span></code>) classification
or continuous variable regression.</p>
<p>User questions should <strong>not be asked on the bug tracker</strong>, as it crowds
the list of issues and makes the development of the project harder.</p>
</section>
<section id="bug-tracker">
<span id="id3"></span><h2>Bug tracker<a class="headerlink" href="#bug-tracker" title="Permalink to this heading">¶</a></h2>
<p>If you think you’ve encountered a bug, please report it to the issue tracker:</p>
<p><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/issues">https://github.com/scikit-learn/scikit-learn/issues</a></p>
<p>Don’t forget to include:</p>
<blockquote>
<div><ul class="simple">
<li><p>steps (or better script) to reproduce,</p></li>
<li><p>expected outcome,</p></li>
<li><p>observed outcome or Python (or gdb) tracebacks</p></li>
</ul>
</div></blockquote>
<p>To help developers fix your bug faster, please link to a <a class="reference external" href="https://gist.github.com">https://gist.github.com</a>
holding a standalone minimalistic python script that reproduces your bug and
optionally a minimalistic subsample of your dataset (for instance, exported
as CSV files using <code class="docutils literal notranslate"><span class="pre">numpy.savetxt</span></code>).</p>
<p>Note: Gists are Git cloneable repositories and thus you can use Git to
push datafiles to them.</p>
</section>
<section id="gitter">
<span id="id4"></span><h2>Gitter<a class="headerlink" href="#gitter" title="Permalink to this heading">¶</a></h2>
<p>Some developers like to hang out on scikit-learn Gitter room:
<a class="reference external" href="https://gitter.im/scikit-learn/scikit-learn">https://gitter.im/scikit-learn/scikit-learn</a>.</p>
</section>
<section id="documentation-resources">
<span id="id5"></span><h2>Documentation resources<a class="headerlink" href="#documentation-resources" title="Permalink to this heading">¶</a></h2>
<p>This documentation is relative to 1.4.dev0. Documentation for
other versions can be found <a class="reference external" href="https://scikit-learn.org/dev/versions.html">here</a>.</p>
<p>Printable pdf documentation for old versions can be found <a class="reference external" href="https://sourceforge.net/projects/scikit-learn/files/documentation/">here</a>.</p>
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