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    <title>PyPI recent updates for deep-rapm</title>
    <link>https://pypi.org/project/deep-rapm/</link>
    <description>Recent updates to the Python Package Index for deep-rapm</description>
    <language>en</language>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/deep-rapm/0.1.4/</link>
      <description>Regularized Adjusted Plus-Minus (RAPM) for NBA possession data — analytical ridge regression with recency weighting and a cross-attention neural model for lineup interaction effects.</description>
      <pubDate>Thu, 02 Apr 2026 16:27:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/deep-rapm/0.1.3/</link>
      <description>Regularized Adjusted Plus-Minus (RAPM) for NBA possession data — analytical ridge regression with recency weighting and a cross-attention neural model for lineup interaction effects.</description>
      <pubDate>Mon, 30 Mar 2026 04:14:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/deep-rapm/0.1.2/</link>
      <description>Regularized Adjusted Plus-Minus (RAPM) for NBA possession data — analytical ridge regression with recency weighting and a cross-attention neural model for lineup interaction effects.</description>
      <pubDate>Fri, 20 Mar 2026 15:18:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/deep-rapm/0.1.1/</link>
      <description>Regularized Adjusted Plus-Minus (RAPM) for NBA possession data — analytical ridge regression with recency weighting and a cross-attention neural model for lineup interaction effects.</description>
      <pubDate>Fri, 20 Mar 2026 15:08:05 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/deep-rapm/0.1.0/</link>
      <description>Regularized Adjusted Plus-Minus (RAPM) for NBA possession data — analytical ridge regression with recency weighting and a cross-attention neural model for lineup interaction effects.</description>
      <pubDate>Fri, 20 Mar 2026 15:02:28 GMT</pubDate>
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