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    <title>PyPI recent updates for predikit</title>
    <link>https://pypi.org/project/predikit/</link>
    <description>Recent updates to the Python Package Index for predikit</description>
    <language>en</language>    <item>
      <title>0.3.3</title>
      <link>https://pypi.org/project/predikit/0.3.3/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejasta@gmail.com</author>      <pubDate>Tue, 26 May 2026 03:34:06 GMT</pubDate>
    </item>    <item>
      <title>0.3.2</title>
      <link>https://pypi.org/project/predikit/0.3.2/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejas.tumakuruashok@travelandleisure.com</author>      <pubDate>Tue, 26 May 2026 03:24:23 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/predikit/0.3.1/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejas.tumakuruashok@travelandleisure.com</author>      <pubDate>Tue, 26 May 2026 03:14:58 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/predikit/0.3.0/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejas.tumakuruashok@travelandleisure.com</author>      <pubDate>Tue, 26 May 2026 02:59:57 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/predikit/0.2.0/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejas.tumakuruashok@travelandleisure.com</author>      <pubDate>Tue, 26 May 2026 02:28:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/predikit/0.1.0/</link>
      <description>Turn any trained sklearn/XGBoost model into an LLM-callable tool with auto-generated schemas and typed I/O.</description>
<author>tejas.tumakuruashok@travelandleisure.com</author>      <pubDate>Mon, 25 May 2026 23:00:39 GMT</pubDate>
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