Bump scikit-learn from 1.1.2 to 1.5.0 in /examples/research_projects/codeparrot/examples
Author: dependabot[bot]
Pull request: yes
Labels: name: dependencies

name: python

Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.1.2 to 1.5.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a href="https://github.com/scikit-learn/scikit-learn/releases">scikit-learn's releases</a>.</em></p>
<blockquote>
<h2>Scikit-learn 1.5.0</h2>
<p>We're happy to announce the 1.5.0 release.</p>
<p>You can read the release highlights under <a href="https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html">https://scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_5_0.html</a> and the long version of the change log under <a href="https://scikit-learn.org/stable/whats_new/v1.5.html">https://scikit-learn.org/stable/whats_new/v1.5.html</a></p>
<p>This version supports Python versions 3.9 to 3.12.</p>
<p>You can upgrade with pip as usual:</p>
<pre><code>pip install -U scikit-learn
</code></pre>
<p>The conda-forge builds can be installed using:</p>
<pre><code>conda install -c conda-forge scikit-learn
</code></pre>
<h2>Scikit-learn 1.4.2</h2>
<p>We're happy to announce the 1.4.2 release.</p>
<p>This release only includes support for numpy 2.</p>
<p>This version supports Python versions 3.9 to 3.12.</p>
<p>You can upgrade with pip as usual:</p>
<pre><code>pip install -U scikit-learn
</code></pre>
<h2>Scikit-learn 1.4.1.post1</h2>
<p>We're happy to announce the 1.4.1.post1 release.</p>
<p>You can see the changelog here: <a href="https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1">https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1-post1</a></p>
<p>This version supports Python versions 3.9 to 3.12.</p>
<p>You can upgrade with pip as usual:</p>
<pre><code>pip install -U scikit-learn
</code></pre>
<p>The conda-forge builds can be installed using:</p>
<pre><code>conda install -c conda-forge scikit-learn
</code></pre>
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</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/b51d0c9648241d1fd53dc9151689f62a61633a3d"><code>b51d0c9</code></a> trigger whell builder [cd build]</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/919ae9bf72554a180baa3d8f4537b49c730b7580"><code>919ae9b</code></a> MAINT Reoder what's new for 1.5 (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/29039">#29039</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/0ac28ade871ca71a89a71c834a7b47829b075829"><code>0ac28ad</code></a> DOC Release highlights 1.5 (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/29007">#29007</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/729b54d5af208432f788ae7945842f0cf597bd36"><code>729b54d</code></a> test py3.12 against numpy 2 [cd build]</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/1e50434f18275bb8727c2a2e24cb953db143d8a5"><code>1e50434</code></a> set version</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/ffbe4ab45bd9a113737231721fa2f55a70f3d0ab"><code>ffbe4ab</code></a> DOC remove obsolete SVM example (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/27108">#27108</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/4647729e5ee8c46e4fedace2d3c50c37f0a6693d"><code>4647729</code></a> DOC Fix time complexity of MLP (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28592">#28592</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/9bd7047b4a6c673bcfd2911997f124e265f8ad57"><code>9bd7047</code></a> FIX convergence criterion of MeanShift (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28951">#28951</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/b79420f1c2e82d814dec8026e96421751bfc9c96"><code>b79420f</code></a> FIX add long long for int32/int64 windows compat in NumPy 2.0 (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/29029">#29029</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/37f544db78503ed1a50da02cbb4f1a4e466fb0a7"><code>37f544d</code></a> DOC replace pandas with Polars in examples/gaussian_process/plot_gpr_co2.py (...</li>
<li>Additional commits viewable in <a href="https://github.com/scikit-learn/scikit-learn/compare/1.1.2...1.5.0">compare view</a></li>
</ul>
</details>
<br />


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