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    <title>PyPI recent updates for pyiblm</title>
    <link>https://pypi.org/project/pyiblm/</link>
    <description>Recent updates to the Python Package Index for pyiblm</description>
    <language>en</language>    <item>
      <title>2.0.2</title>
      <link>https://pypi.org/project/pyiblm/2.0.2/</link>
      <description>Interpretable Boosted Linear Models: GLM + XGBoost ensemble with SHAP-based interpretability</description>
<author>paul.beard.actuarial@gmail.com, kg.actuarial@gmail.com</author>      <pubDate>Wed, 20 May 2026 20:20:41 GMT</pubDate>
    </item>    <item>
      <title>2.0.1</title>
      <link>https://pypi.org/project/pyiblm/2.0.1/</link>
      <description>Interpretable Boosted Linear Models: GLM + XGBoost ensemble with SHAP-based interpretability</description>
<author>paul.beard.actuarial@gmail.com, kg.actuarial@gmail.com</author>      <pubDate>Wed, 20 May 2026 19:54:29 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/pyiblm/0.1.0/</link>
      <description>Interpretable Boosted Linear Model (IBLM): A transparent machine learning approach combining generalized linear models with gradient boosting</description>
<author>you@example.com</author>      <pubDate>Mon, 06 Apr 2026 09:07:21 GMT</pubDate>
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