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    <title>PyPI recent updates for mlverdict</title>
    <link>https://pypi.org/project/mlverdict/</link>
    <description>Recent updates to the Python Package Index for mlverdict</description>
    <language>en</language>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/mlverdict/0.2.1/</link>
      <description>Evidence-based decision engine for tabular ML: supervised classification/regression and unsupervised clustering, anomaly detection, and PCA.</description>
      <pubDate>Mon, 07 Sep 2026 23:16:41 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/mlverdict/0.2.0/</link>
      <description>Evidence-based decision engine for tabular ML: supervised classification/regression and unsupervised clustering, anomaly detection, and PCA.</description>
      <pubDate>Mon, 07 Sep 2026 23:06:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/mlverdict/0.1.3/</link>
      <description>Evidence-based decision engine for tabular supervised ML: diagnose the problem, compare models, explain the winner, package the artifact.</description>
      <pubDate>Mon, 07 Sep 2026 22:37:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/mlverdict/0.1.2/</link>
      <description>Give a CSV and a target column. MLVerdict picks the problem, metric, and model, then explains why.</description>
      <pubDate>Mon, 07 Sep 2026 22:31:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/mlverdict/0.1.1/</link>
      <description>Evidence-based model selection for tabular ML: diagnose, compare, explain, and package a deployable model.</description>
      <pubDate>Mon, 07 Sep 2026 22:21:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/mlverdict/0.1.0/</link>
      <description>Evidence-Based Machine Learning Decision Engine</description>
      <pubDate>Mon, 07 Sep 2026 22:01:41 GMT</pubDate>
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