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    <title>PyPI recent updates for tsshap-timeseries</title>
    <link>https://pypi.org/project/tsshap-timeseries/</link>
    <description>Recent updates to the Python Package Index for tsshap-timeseries</description>
    <language>en</language>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/tsshap-timeseries/0.1.2/</link>
      <description>TsSHAP-style feature-based explainability for univariate forecasting: backtesting, interpretable features, tree surrogate (sklearn/XGBoost/LightGBM/CatBoost), SHAP, notebook-driven TSICE comparison.</description>
      <pubDate>Fri, 08 May 2026 01:47:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/tsshap-timeseries/0.1.1/</link>
      <description>TsSHAP-style feature-based explainability for univariate forecasting: backtesting, interpretable features, tree surrogate (sklearn/XGBoost/LightGBM/CatBoost), SHAP, notebook-driven TSICE comparison.</description>
      <pubDate>Tue, 05 May 2026 14:22:20 GMT</pubDate>
    </item>  </channel>
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