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    <title>PyPI recent updates for independent-validation</title>
    <link>https://pypi.org/project/independent-validation/</link>
    <description>Recent updates to the Python Package Index for independent-validation</description>
    <language>en</language>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/independent-validation/0.1.3/</link>
      <description>IV is a Python package designed to assess the accuracy of machine learning classifiers by generating a full probability distribution of their performance. This method goes beyond traditional cross-validation by using an iterative process and Markov Chain Monte Carlo (MCMC) to estimate uncertainty. By only using samples for training after they have been tested alpha inflation is prevented.</description>
<author>thede.vonoertzen@thomasbayes.de, hannes.diemerling@thomasbayes.de, timo.vonoertzen@thomasbayes.de</author>      <pubDate>Tue, 10 Jun 2025 06:25:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/independent-validation/0.1.2/</link>
      <description>IV is a Python package designed to assess the accuracy of machine learning classifiers by generating a full probability distribution of their performance. This method goes beyond traditional cross-validation by using an iterative process and Markov Chain Monte Carlo (MCMC) to estimate uncertainty. By only using samples for training after they have been tested alpha inflation is prevented.</description>
<author>thede.vonoertzen@thomasbayes.de, hannes.diemerling@thomasbayes.de, timo.vonoertzen@thomasbayes.de</author>      <pubDate>Tue, 03 Jun 2025 20:34:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/independent-validation/0.1.1/</link>
      <description>IV is a Python package designed to assess the accuracy of machine learning classifiers by generating a full probability distribution of their performance. This method goes beyond traditional cross-validation by using an iterative process and Markov Chain Monte Carlo (MCMC) to estimate uncertainty. By only using samples for training after they have been tested alpha inflation is prevented.</description>
<author>thede.vonoertzen@thomasbayes.de, hannes.diemerling@thomasbayes.de, timo.vonoertzen@thomasbayes.de</author>      <pubDate>Tue, 03 Jun 2025 20:15:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/independent-validation/0.0.6/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:22:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/independent-validation/0.0.5/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:17:55 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/independent-validation/0.0.4/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:17:53 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/independent-validation/0.0.3/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:17:52 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/independent-validation/0.0.2/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:17:51 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/independent-validation/0.0.1/</link>
      <description>This package implements an alternative to cross validation called independent validation.</description>
<author>jonas.v.oertzen@web.de</author>      <pubDate>Mon, 23 Sep 2024 11:17:50 GMT</pubDate>
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