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    <title>PyPI recent updates for morgoth</title>
    <link>https://pypi.org/project/morgoth/</link>
    <description>Recent updates to the Python Package Index for morgoth</description>
    <language>en</language>    <item>
      <title>1.5</title>
      <link>https://pypi.org/project/morgoth/1.5/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Thu, 28 Aug 2025 15:02:37 GMT</pubDate>
    </item>    <item>
      <title>1.4.1</title>
      <link>https://pypi.org/project/morgoth/1.4.1/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Thu, 31 Jul 2025 10:45:28 GMT</pubDate>
    </item>    <item>
      <title>1.4</title>
      <link>https://pypi.org/project/morgoth/1.4/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Thu, 31 Jul 2025 10:36:15 GMT</pubDate>
    </item>    <item>
      <title>1.3</title>
      <link>https://pypi.org/project/morgoth/1.3/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Mon, 21 Jul 2025 09:00:07 GMT</pubDate>
    </item>    <item>
      <title>1.2</title>
      <link>https://pypi.org/project/morgoth/1.2/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Fri, 18 Jul 2025 13:14:17 GMT</pubDate>
    </item>    <item>
      <title>1.1</title>
      <link>https://pypi.org/project/morgoth/1.1/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Mon, 02 Jun 2025 09:48:22 GMT</pubDate>
    </item>    <item>
      <title>1.0</title>
      <link>https://pypi.org/project/morgoth/1.0/</link>
      <description>Interpretable and reliable multivariate random forest for simultaneous classification and regression</description>
<author>lisa-marie.rolli@uni-saarland.de</author>      <pubDate>Mon, 02 Jun 2025 09:44:44 GMT</pubDate>
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