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    <title>PyPI recent updates for glmpynet</title>
    <link>https://pypi.org/project/glmpynet/</link>
    <description>Recent updates to the Python Package Index for glmpynet</description>
    <language>en</language>    <item>
      <title>0.5.8</title>
      <link>https://pypi.org/project/glmpynet/0.5.8/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 18:05:33 GMT</pubDate>
    </item>    <item>
      <title>0.5.7</title>
      <link>https://pypi.org/project/glmpynet/0.5.7/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 17:07:20 GMT</pubDate>
    </item>    <item>
      <title>0.5.6</title>
      <link>https://pypi.org/project/glmpynet/0.5.6/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 15:54:43 GMT</pubDate>
    </item>    <item>
      <title>0.5.5</title>
      <link>https://pypi.org/project/glmpynet/0.5.5/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 13:52:48 GMT</pubDate>
    </item>    <item>
      <title>0.5.4</title>
      <link>https://pypi.org/project/glmpynet/0.5.4/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Tue, 22 Jul 2025 05:53:58 GMT</pubDate>
    </item>    <item>
      <title>0.4.16</title>
      <link>https://pypi.org/project/glmpynet/0.4.16/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sat, 19 Jul 2025 13:13:11 GMT</pubDate>
    </item>    <item>
      <title>0.4.10</title>
      <link>https://pypi.org/project/glmpynet/0.4.10/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sat, 19 Jul 2025 03:21:20 GMT</pubDate>
    </item>    <item>
      <title>0.4.9</title>
      <link>https://pypi.org/project/glmpynet/0.4.9/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sat, 19 Jul 2025 00:21:57 GMT</pubDate>
    </item>    <item>
      <title>0.4.8</title>
      <link>https://pypi.org/project/glmpynet/0.4.8/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Thu, 10 Jul 2025 18:13:06 GMT</pubDate>
    </item>    <item>
      <title>0.4.7</title>
      <link>https://pypi.org/project/glmpynet/0.4.7/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Thu, 10 Jul 2025 16:30:14 GMT</pubDate>
    </item>    <item>
      <title>0.4.6</title>
      <link>https://pypi.org/project/glmpynet/0.4.6/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Thu, 10 Jul 2025 00:09:51 GMT</pubDate>
    </item>    <item>
      <title>0.4.5</title>
      <link>https://pypi.org/project/glmpynet/0.4.5/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 16:49:02 GMT</pubDate>
    </item>    <item>
      <title>0.4.4</title>
      <link>https://pypi.org/project/glmpynet/0.4.4/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 14:09:43 GMT</pubDate>
    </item>    <item>
      <title>0.4.3</title>
      <link>https://pypi.org/project/glmpynet/0.4.3/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 13:25:42 GMT</pubDate>
    </item>    <item>
      <title>0.4.2</title>
      <link>https://pypi.org/project/glmpynet/0.4.2/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 13:12:45 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/glmpynet/0.4.0/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 12:57:54 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/glmpynet/0.3.0/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Wed, 09 Jul 2025 12:39:44 GMT</pubDate>
    </item>    <item>
      <title>0.2.9</title>
      <link>https://pypi.org/project/glmpynet/0.2.9/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 17:22:49 GMT</pubDate>
    </item>    <item>
      <title>0.2.8</title>
      <link>https://pypi.org/project/glmpynet/0.2.8/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 15:46:17 GMT</pubDate>
    </item>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/glmpynet/0.2.4/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 13:37:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/glmpynet/0.2.3/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 13:26:38 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/glmpynet/0.2.2/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 13:19:25 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/glmpynet/0.2.1/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Mon, 07 Jul 2025 13:09:40 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/glmpynet/0.2.0/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sun, 06 Jul 2025 23:10:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/glmpynet/0.1.7/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sun, 06 Jul 2025 19:59:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/glmpynet/0.1.4/</link>
      <description>A scikit-learn compatible wrapper for glmnet-based logistic regression.</description>
<author>hrolfrc@gmail.com</author>      <pubDate>Sun, 06 Jul 2025 01:16:54 GMT</pubDate>
    </item>  </channel>
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