<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for MI-AG</title>
    <link>https://pypi.org/project/mi-ag/</link>
    <description>Recent updates to the Python Package Index for MI-AG</description>
    <language>en</language>    <item>
      <title>0.9.5.9</title>
      <link>https://pypi.org/project/mi-ag/0.9.5.9/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Mon, 31 Oct 2022 04:04:14 GMT</pubDate>
    </item>    <item>
      <title>0.9.5</title>
      <link>https://pypi.org/project/mi-ag/0.9.5/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sun, 30 Oct 2022 20:17:31 GMT</pubDate>
    </item>    <item>
      <title>0.9.3.3</title>
      <link>https://pypi.org/project/mi-ag/0.9.3.3/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Tue, 09 Aug 2022 23:05:23 GMT</pubDate>
    </item>    <item>
      <title>0.9.3.2</title>
      <link>https://pypi.org/project/mi-ag/0.9.3.2/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sun, 07 Aug 2022 23:31:34 GMT</pubDate>
    </item>    <item>
      <title>0.9.3.1</title>
      <link>https://pypi.org/project/mi-ag/0.9.3.1/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sat, 06 Aug 2022 19:27:31 GMT</pubDate>
    </item>    <item>
      <title>0.9.3</title>
      <link>https://pypi.org/project/mi-ag/0.9.3/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sat, 06 Aug 2022 18:50:17 GMT</pubDate>
    </item>    <item>
      <title>0.9.2</title>
      <link>https://pypi.org/project/mi-ag/0.9.2/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 03 Aug 2022 01:39:39 GMT</pubDate>
    </item>    <item>
      <title>0.9.1</title>
      <link>https://pypi.org/project/mi-ag/0.9.1/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 27 Jul 2022 00:53:22 GMT</pubDate>
    </item>    <item>
      <title>0.9.0</title>
      <link>https://pypi.org/project/mi-ag/0.9.0/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sat, 23 Jul 2022 20:17:51 GMT</pubDate>
    </item>    <item>
      <title>0.6.20</title>
      <link>https://pypi.org/project/mi-ag/0.6.20/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Thu, 21 Jul 2022 23:57:38 GMT</pubDate>
    </item>    <item>
      <title>0.6.16</title>
      <link>https://pypi.org/project/mi-ag/0.6.16/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Thu, 21 Jul 2022 04:00:43 GMT</pubDate>
    </item>    <item>
      <title>0.6.12</title>
      <link>https://pypi.org/project/mi-ag/0.6.12/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 20 Jul 2022 23:19:52 GMT</pubDate>
    </item>    <item>
      <title>0.6.9</title>
      <link>https://pypi.org/project/mi-ag/0.6.9/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 20 Jul 2022 22:54:12 GMT</pubDate>
    </item>    <item>
      <title>0.6.6</title>
      <link>https://pypi.org/project/mi-ag/0.6.6/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 20 Jul 2022 20:57:23 GMT</pubDate>
    </item>    <item>
      <title>0.6.3</title>
      <link>https://pypi.org/project/mi-ag/0.6.3/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam. Multiprocessing is now available.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Wed, 20 Jul 2022 19:40:54 GMT</pubDate>
    </item>    <item>
      <title>0.2.5</title>
      <link>https://pypi.org/project/mi-ag/0.2.5/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Mon, 18 Jul 2022 23:46:29 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/mi-ag/0.2.3/</link>
      <description>Use mutual information and accelerated gradient method to filter out and optimize nonconvex sparse learning problems on large genetic data based on bed/bim/fam.</description>
<author>kai.yang2@mail.mcgill.ca</author>      <pubDate>Sat, 16 Jul 2022 15:10:48 GMT</pubDate>
    </item>  </channel>
</rss>