<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for data-improvement-library</title>
    <link>https://pypi.tw.martin98.com/project/data-improvement-library/</link>
    <description>Recent updates to the Python Package Index for data-improvement-library</description>
    <language>en</language>    <item>
      <title>0.3.2</title>
      <link>https://pypi.tw.martin98.com/project/data-improvement-library/0.3.2/</link>
      <description>A group of techniques and methods which can potentially improve visual explainability models based on the Learning to Rank approach</description>
<author>david.esteban.martinez@udc.es</author>      <pubDate>Mon, 17 Feb 2025 10:02:36 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.tw.martin98.com/project/data-improvement-library/0.3.1/</link>
      <description>A group of techniques and methods which can potentially improve visual explainability models based on the Learning to Rank approach</description>
<author>david.esteban.martinez@udc.es</author>      <pubDate>Tue, 11 Feb 2025 10:51:32 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.tw.martin98.com/project/data-improvement-library/0.3.0/</link>
      <description>A group of techniques and methods which can potentially improve visual explainability models based on the Learning to Rank approach</description>
<author>david.esteban.martinez@udc.es</author>      <pubDate>Tue, 11 Feb 2025 10:49:13 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.tw.martin98.com/project/data-improvement-library/0.2.0/</link>
      <description>A group of techniques and methods which can potentlially improve visual explainability models based on the Learning to Rank aproach</description>
<author>david.esteban.martinez@udc.es</author>      <pubDate>Mon, 10 Feb 2025 18:32:15 GMT</pubDate>
    </item>  </channel>
</rss>