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    <title>PyPI recent updates for skheros</title>
    <link>https://pypi.org/project/skheros/</link>
    <description>Recent updates to the Python Package Index for skheros</description>
    <language>en</language>    <item>
      <title>0.3</title>
      <link>https://pypi.org/project/skheros/0.3/</link>
      <description>The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse &#39;structured&#39; data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.</description>
<author>ryanurbanowicz@gmail.com</author>      <pubDate>Tue, 21 Apr 2026 06:51:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/skheros/0.2.5/</link>
      <description>The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse &#39;structured&#39; data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.</description>
<author>ryanurbanowicz@gmail.com</author>      <pubDate>Wed, 18 Jun 2025 10:17:04 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/skheros/0.2.4/</link>
      <description>The Heuristic Evolutionary Rule Optimization System (HEROS) is a supervised rule-based machine learning algorithm designed to agnostically model diverse &#39;structured&#39; data problems and yield compact human interpretable solutions. This implementation is scikit-learn compatible.</description>
<author>ryanurbanowicz@gmail.com</author>      <pubDate>Wed, 18 Jun 2025 09:22:27 GMT</pubDate>
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