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    <title>PyPI recent updates for highfis</title>
    <link>https://pypi.org/project/highfis/</link>
    <description>Recent updates to the Python Package Index for highfis</description>
    <language>en</language>    <item>
      <title>0.8.1</title>
      <link>https://pypi.org/project/highfis/0.8.1/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Tue, 05 May 2026 14:53:21 GMT</pubDate>
    </item>    <item>
      <title>0.8.0</title>
      <link>https://pypi.org/project/highfis/0.8.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Wed, 22 Apr 2026 02:10:03 GMT</pubDate>
    </item>    <item>
      <title>0.7.0</title>
      <link>https://pypi.org/project/highfis/0.7.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Tue, 21 Apr 2026 20:37:22 GMT</pubDate>
    </item>    <item>
      <title>0.6.0</title>
      <link>https://pypi.org/project/highfis/0.6.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Sun, 19 Apr 2026 02:19:51 GMT</pubDate>
    </item>    <item>
      <title>0.5.0</title>
      <link>https://pypi.org/project/highfis/0.5.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Wed, 15 Apr 2026 14:45:18 GMT</pubDate>
    </item>    <item>
      <title>0.4.0</title>
      <link>https://pypi.org/project/highfis/0.4.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Tue, 14 Apr 2026 20:28:39 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/highfis/0.3.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Mon, 13 Apr 2026 21:24:44 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/highfis/0.2.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 21:08:11 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/highfis/0.1.1/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 19:44:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/highfis/0.1.0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 17:25:53 GMT</pubDate>
    </item>    <item>
      <title>0.1.0a3</title>
      <link>https://pypi.org/project/highfis/0.1.0a3/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 16:41:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.0a2</title>
      <link>https://pypi.org/project/highfis/0.1.0a2/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 16:08:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.0a1</title>
      <link>https://pypi.org/project/highfis/0.1.0a1/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Fri, 10 Apr 2026 15:54:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.0a0</title>
      <link>https://pypi.org/project/highfis/0.1.0a0/</link>
      <description>highFIS is a comprehensive Python package for training and evaluating high-dimensional TSK fuzzy systems, built on PyTorch and compatible with the scikit-learn API.</description>
<author>daniel@ci.ufpb.br</author>      <pubDate>Thu, 09 Apr 2026 21:47:35 GMT</pubDate>
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