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    <title>PyPI recent updates for mdca</title>
    <link>https://pypi.org/project/mdca/</link>
    <description>Recent updates to the Python Package Index for mdca</description>
    <language>en</language>    <item>
      <title>0.1.21</title>
      <link>https://pypi.org/project/mdca/0.1.21/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Sat, 05 Apr 2025 14:14:13 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/mdca/0.1.20/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Sat, 05 Apr 2025 13:55:15 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/mdca/0.1.19/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Sat, 05 Apr 2025 10:45:25 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/mdca/0.1.18/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Tue, 25 Mar 2025 12:09:21 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/mdca/0.1.17/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Sat, 15 Mar 2025 14:30:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/mdca/0.1.16/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Sat, 15 Mar 2025 04:31:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.15</title>
      <link>https://pypi.org/project/mdca/0.1.15/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Fri, 14 Mar 2025 09:00:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/mdca/0.1.14/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Fri, 14 Mar 2025 08:05:22 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/mdca/0.1.13/</link>
      <description>MDCA: Multi-dimensional Data Combination Analysis. It&#39;s used to analysis data table through multi-dimensional data combinations. Multi-dimensional distribution, fairness, and model error analysis are supported.</description>
<author>932166095@qq.com</author>      <pubDate>Fri, 14 Mar 2025 07:52:00 GMT</pubDate>
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