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    <title>PyPI recent updates for pdeseg</title>
    <link>https://pypi.org/project/pdeseg/</link>
    <description>Recent updates to the Python Package Index for pdeseg</description>
    <language>en</language>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/pdeseg/0.1.4/</link>
      <description>A feature selection method based on identifying features that best segregate classes via their underlying probablity density estimations</description>
<author>j-liaw@hotmail.com</author>      <pubDate>Tue, 17 Mar 2026 08:54:14 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/pdeseg/0.1.3/</link>
      <description>A feature selection method based on identifying features that best segregate classes via their underlying probablity density estimations</description>
<author>j-liaw@hotmail.com</author>      <pubDate>Wed, 21 Jan 2026 13:02:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/pdeseg/0.1.2/</link>
      <description>A feature selection method based on identifying features that best segregate classes via their underlying probablity density estimations</description>
<author>j-liaw@hotmail.com</author>      <pubDate>Wed, 21 Jan 2026 12:46:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/pdeseg/0.1.1/</link>
      <description>A feature selection method based on identifying features that best segregate classes via their underlying probablity density estimations</description>
<author>j-liaw@hotmail.com</author>      <pubDate>Tue, 06 Jan 2026 14:54:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/pdeseg/0.1.0/</link>
      <description>A feature selection method based on identifying features that best segregate classes via their underlying probablity density estimations</description>
<author>j-liaw@hotmail.com</author>      <pubDate>Tue, 06 Jan 2026 13:16:54 GMT</pubDate>
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