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    <title>PyPI recent updates for smds</title>
    <link>https://pypi.org/project/smds/</link>
    <description>Recent updates to the Python Package Index for smds</description>
    <language>en</language>    <item>
      <title>1.6.5</title>
      <link>https://pypi.org/project/smds/1.6.5/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Mon, 02 Mar 2026 13:51:23 GMT</pubDate>
    </item>    <item>
      <title>1.6.4</title>
      <link>https://pypi.org/project/smds/1.6.4/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Fri, 27 Feb 2026 16:09:46 GMT</pubDate>
    </item>    <item>
      <title>1.6.3</title>
      <link>https://pypi.org/project/smds/1.6.3/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Fri, 27 Feb 2026 14:05:21 GMT</pubDate>
    </item>    <item>
      <title>1.6.2</title>
      <link>https://pypi.org/project/smds/1.6.2/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Thu, 26 Feb 2026 19:59:51 GMT</pubDate>
    </item>    <item>
      <title>1.6.1</title>
      <link>https://pypi.org/project/smds/1.6.1/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Thu, 26 Feb 2026 19:40:44 GMT</pubDate>
    </item>    <item>
      <title>1.6.0</title>
      <link>https://pypi.org/project/smds/1.6.0/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Thu, 26 Feb 2026 15:43:01 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/smds/1.0.0/</link>
      <description>A plug-and-play, scikit-learn compatible implementation of Supervised Multi-Dimensional Scaling (SMDS) for automatic feature manifold discovery in LLMs.</description>
      <pubDate>Fri, 06 Feb 2026 12:18:12 GMT</pubDate>
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