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    <title>PyPI recent updates for gbmframework</title>
    <link>https://pypi.org/project/gbmframework/</link>
    <description>Recent updates to the Python Package Index for gbmframework</description>
    <language>en</language>    <item>
      <title>0.2.16</title>
      <link>https://pypi.org/project/gbmframework/0.2.16/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Fri, 27 Mar 2026 21:12:17 GMT</pubDate>
    </item>    <item>
      <title>0.2.15</title>
      <link>https://pypi.org/project/gbmframework/0.2.15/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Fri, 27 Mar 2026 21:01:16 GMT</pubDate>
    </item>    <item>
      <title>0.2.14</title>
      <link>https://pypi.org/project/gbmframework/0.2.14/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Fri, 27 Mar 2026 20:44:31 GMT</pubDate>
    </item>    <item>
      <title>0.2.13</title>
      <link>https://pypi.org/project/gbmframework/0.2.13/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Fri, 27 Mar 2026 20:33:29 GMT</pubDate>
    </item>    <item>
      <title>0.2.12</title>
      <link>https://pypi.org/project/gbmframework/0.2.12/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Tue, 11 Mar 2025 01:47:57 GMT</pubDate>
    </item>    <item>
      <title>0.2.11</title>
      <link>https://pypi.org/project/gbmframework/0.2.11/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Tue, 11 Mar 2025 01:32:32 GMT</pubDate>
    </item>    <item>
      <title>0.2.10</title>
      <link>https://pypi.org/project/gbmframework/0.2.10/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Mon, 10 Mar 2025 23:28:17 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/gbmframework/0.2.9/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Mon, 10 Mar 2025 23:06:53 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/gbmframework/0.2.0/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Mon, 10 Mar 2025 03:10:58 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/gbmframework/0.1.0/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Mon, 10 Mar 2025 02:49:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/gbmframework/0.1.7/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Sun, 02 Mar 2025 16:29:36 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/gbmframework/0.1.5/</link>
      <description>A unified framework for Gradient Boosting Models with SHAP analysis</description>
<author>attwoodanalytics@gmail.com</author>      <pubDate>Sun, 02 Mar 2025 16:29:34 GMT</pubDate>
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