<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for learning-machines-drift</title>
    <link>https://pypi.org/project/learning-machines-drift/</link>
    <description>Recent updates to the Python Package Index for learning-machines-drift</description>
    <language>en</language>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/learning-machines-drift/0.0.3/</link>
      <description>A Python package for monitoring dataset drift in secure environments.</description>
<author>sgreenbury@turing.ac.uk</author>      <pubDate>Wed, 22 Feb 2023 12:08:40 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/learning-machines-drift/0.0.2/</link>
      <description>A Python package for monitoring dataset drift in production ML pipelines.</description>
<author>myong@turing.ac.uk, sgreenbury@turing.ac.uk, jannetta.steyn@newcastle.ac.uk, ogiles@turing.ac.uk, mabroshan@turing.ac.uk, jroberts@turing.ac.uk</author>      <pubDate>Mon, 20 Feb 2023 15:24:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/learning-machines-drift/0.0.1/</link>
      <description>A Python package for monitoring dataset drift in production ML pipelines.</description>
<author>myong@turing.ac.uk</author>      <pubDate>Mon, 20 Feb 2023 14:54:26 GMT</pubDate>
    </item>    <item>
      <title>0.0.0</title>
      <link>https://pypi.org/project/learning-machines-drift/0.0.0/</link>
      <description></description>
      <pubDate>Mon, 20 Feb 2023 11:18:22 GMT</pubDate>
    </item>  </channel>
</rss>