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    <title>PyPI recent updates for gpnam</title>
    <link>https://pypi.org/project/gpnam/</link>
    <description>Recent updates to the Python Package Index for gpnam</description>
    <language>en</language>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/gpnam/0.1.0/</link>
      <description>GPNAM - an interpretable Gaussian Process Neural Additive Model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Thu, 22 Feb 2024 22:13:37 GMT</pubDate>
    </item>    <item>
      <title>0.0.24</title>
      <link>https://pypi.org/project/gpnam/0.0.24/</link>
      <description>GPNAM - an interpretable Gaussian Process Neural Additive Model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 22:24:15 GMT</pubDate>
    </item>    <item>
      <title>0.0.23</title>
      <link>https://pypi.org/project/gpnam/0.0.23/</link>
      <description>GPNAM - an interpretable Gaussian Process NAM model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 19:41:27 GMT</pubDate>
    </item>    <item>
      <title>0.0.22</title>
      <link>https://pypi.org/project/gpnam/0.0.22/</link>
      <description>GPNAM - an interpretable Gaussian Process NAM model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 19:38:48 GMT</pubDate>
    </item>    <item>
      <title>0.0.21</title>
      <link>https://pypi.org/project/gpnam/0.0.21/</link>
      <description>GPNAM - an interpretable Gaussian Process NAM model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 19:35:35 GMT</pubDate>
    </item>    <item>
      <title>0.0.20</title>
      <link>https://pypi.org/project/gpnam/0.0.20/</link>
      <description>GPNAM - an interpretable Gaussian Process NAM model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 01:17:23 GMT</pubDate>
    </item>    <item>
      <title>0.0.19</title>
      <link>https://pypi.org/project/gpnam/0.0.19/</link>
      <description>GPNAM - an interpretable Gaussian Process NAM model.</description>
<author>wz2363@columbia.edu</author>      <pubDate>Sun, 18 Feb 2024 01:06:16 GMT</pubDate>
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