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    <title>PyPI recent updates for striders</title>
    <link>https://pypi.org/project/striders/</link>
    <description>Recent updates to the Python Package Index for striders</description>
    <language>en</language>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/striders/0.0.6/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Thu, 19 Mar 2026 07:37:38 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/striders/0.0.5/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Wed, 18 Mar 2026 09:14:21 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/striders/0.0.4/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Thu, 05 Mar 2026 05:52:46 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/striders/0.0.3/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Mon, 02 Mar 2026 04:06:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/striders/0.0.2/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Sat, 28 Feb 2026 15:06:08 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/striders/0.0.1/</link>
      <description>Efficient surrogate-based model explanations (XAI) using landmark-based kernel approximations for scalable SHAP values.</description>
<author>rektpunk@gmail.com</author>      <pubDate>Sat, 28 Feb 2026 14:39:02 GMT</pubDate>
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