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    <title>PyPI recent updates for eticas-audit</title>
    <link>https://pypi.org/project/eticas-audit/</link>
    <description>Recent updates to the Python Package Index for eticas-audit</description>
    <language>en</language>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/eticas-audit/0.1.7/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Mon, 31 Mar 2025 14:58:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/eticas-audit/0.1.6/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Tue, 25 Mar 2025 12:53:42 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/eticas-audit/0.1.5/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Wed, 26 Feb 2025 14:48:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/eticas-audit/0.1.4/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Wed, 26 Feb 2025 13:30:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.4rc1</title>
      <link>https://pypi.org/project/eticas-audit/0.1.4rc1/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Wed, 26 Feb 2025 13:07:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/eticas-audit/0.1.3/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Fri, 21 Feb 2025 11:59:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/eticas-audit/0.1.2/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Fri, 21 Feb 2025 09:05:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/eticas-audit/0.1.1/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Thu, 20 Feb 2025 14:28:54 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/eticas-audit/0.1.0/</link>
      <description>An open-source Python library designed for developers to calculate fairness metrics and assess bias in machine learning models.</description>
<author>it@eticas.ai</author>      <pubDate>Wed, 29 Jan 2025 16:06:24 GMT</pubDate>
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