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    <title>PyPI recent updates for model-explain</title>
    <link>https://pypi.org/project/model-explain/</link>
    <description>Recent updates to the Python Package Index for model-explain</description>
    <language>en</language>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/model-explain/0.5.0/</link>
      <description>A comprehensive Python package for interpreting and explaining machine learning and deep learning models. Includes support for feature attention mechanisms and integrates popular explanation methods such as LIME, SHAP, Grad-CAM, permutation importance, and saliency maps. Offers a unified interface for tabular, image, and other data types to enhance model transparency and interpretability.</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Thu, 30 Oct 2025 01:25:46 GMT</pubDate>
    </item>    <item>
      <title>0.4.1</title>
      <link>https://pypi.org/project/model-explain/0.4.1/</link>
      <description>A comprehensive Python package for interpreting and explaining machine learning and deep learning models. Includes support for feature attention mechanisms and integrates popular explanation methods such as LIME, SHAP, Grad-CAM, permutation importance, and saliency maps. Offers a unified interface for tabular, image, and other data types to enhance model transparency and interpretability.</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Mon, 27 Oct 2025 23:26:19 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/model-explain/0.4.0/</link>
      <description>A unified Python package for interpreting and explaining machine learning and deep learning models, including feature attention mechanisms. Supports popular explanation techniques such as LIME, SHAP, Grad-CAM, permutation importance, and saliency maps. Provides a consistent interface for tabular, image, and other data types, enabling model transparency and interpretability.</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Fri, 24 Oct 2025 01:10:03 GMT</pubDate>
    </item>    <item>
      <title>0.3.1</title>
      <link>https://pypi.org/project/model-explain/0.3.1/</link>
      <description>A package for interpreting and explaining machine learning models. It provides a unified interface for popular explanation techniques, including LIME, SHAP, and Grad-CAM and supports a wide range of models and data types.</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Mon, 20 Oct 2025 18:37:20 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/model-explain/0.3.0/</link>
      <description>A model explainability toolkit with SHAP, LIME, scoring, summaries, and GUI sandbox</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Sun, 19 Oct 2025 01:17:11 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/model-explain/0.2.0/</link>
      <description>A model explainability toolkit with SHAP, LIME, scoring, summaries, and GUI sandbox</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Thu, 16 Oct 2025 00:44:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/model-explain/0.1.0/</link>
      <description>A model explainability toolkit with SHAP, LIME, scoring, summaries, and GUI sandbox</description>
<author>vaibhav1kulshrestha@gmail.com</author>      <pubDate>Mon, 13 Oct 2025 18:55:04 GMT</pubDate>
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