Bump scikit-learn from 1.4.0 to 1.4.1.post1 (#99)

Bumps [scikit-learn](https://github.com/scikit-learn/scikit-learn) from 1.4.0 to 1.4.1.post1.
<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 1.4.1.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>
<h2>Scikit-learn 1.4.1</h2>
<p>We're happy to announce the 1.4.1 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">https://scikit-learn.org/stable/whats_new/v1.4.html#version-1-4-1</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>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/719c0c6036ac99d45ffb45ed7c8b4e4b221384b5"><code>719c0c6</code></a> [cd build][azure parallel] Trigger CI/CD</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/05dc38fecee9e325738e97822145385d0d2be259"><code>05dc38f</code></a> REL scikit-learn 1.4.1.post1 (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28423">#28423</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/cf0265362b176c1610f3a7d7345bad28c4392291"><code>cf02653</code></a> [cd build][azure parallel] Trigger CI/CD</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/0d00f7b2b77f389a9ab6472290ea9e7b98240335"><code>0d00f7b</code></a> FIX handle inconsistence between <code>fill_value</code> and <code>X</code> dtype in `SimpleImputer...</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/b012b04095bfdfb6dd32342918a449cebc04a982"><code>b012b04</code></a> DOC update changelog for 1.4.1 release (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28413">#28413</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/d7e9734aab0f8b600ff43f47af74a26ac0c07e6f"><code>d7e9734</code></a> bump to version 1.4.1</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/6121cb41150065a8f966ff675650ed10618230b8"><code>6121cb4</code></a> remove numpy pin &lt; 2</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/3564f20be9b46c6fb358289d887fda0fef9be6b7"><code>3564f20</code></a> MNT Checking function <code>_estimator_has</code> also raises <code>AttributeError</code> (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28167">#28167</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/b2e231eb61895cf2a98245d1f3a676db06330e14"><code>b2e231e</code></a> FIX <code>EmptyRequest.get</code> defaults to <code>Bunch</code> of <code>METHODS</code> (<a href="https://redirect.github.com/scikit-learn/scikit-learn/issues/28371">#28371</a>)</li>
<li><a href="https://github.com/scikit-learn/scikit-learn/commit/e4d7d9a5b95315e8185653f26b9d4520cdcb05ed"><code>e4d7d9a</code></a> FIX handle properly missing value in MSE and Friedman-MSE <code>children_impurity</code>...</li>
<li>Additional commits viewable in <a href="https://github.com/scikit-learn/scikit-learn/compare/1.4.0...1.4.1.post1">compare view</a></li>
</ul>
</details>
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</details>

requirements.txt

@@ -1,7 +1,7 @@
 networkx==3.2.1
 numpy==1.26.4
 pandas==2.2.1
-scikit-learn==1.4.0
+scikit-learn==1.4.1.post1
 scipy==1.12.0
 seaborn==0.13.2
 geneticalgorithm==1.0.2