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    <title>PyPI recent updates for mlguard</title>
    <link>https://pypi.org/project/mlguard/</link>
    <description>Recent updates to the Python Package Index for mlguard</description>
    <language>en</language>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/mlguard/0.1.2/</link>
      <description>A diagnostic toolkit for evaluating machine learning models. MLGuard provides plug-and-play checks for class imbalance, overfitting, multicollinearity, bias detection, and more — built on top of scikit-learn, pandas, and statsmodels.</description>
<author>hetrajadeja01@gmail.com</author>      <pubDate>Wed, 23 Jul 2025 17:34:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/mlguard/0.1.1/</link>
      <description>A scikit-learn based library for model validation checks like overfitting, imbalance, bias, etc.</description>
<author>het1@gmail.com</author>      <pubDate>Wed, 23 Jul 2025 17:14:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/mlguard/0.1.0/</link>
      <description>A scikit-learn based library for model validation checks like overfitting, imbalance, bias, etc.</description>
<author>het1@gmail.com</author>      <pubDate>Wed, 02 Jul 2025 13:03:09 GMT</pubDate>
    </item>  </channel>
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