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    <title>PyPI recent updates for importance_cross_entropy</title>
    <link>https://pypi.org/project/importance-cross-entropy/</link>
    <description>Recent updates to the Python Package Index for importance_cross_entropy</description>
    <language>en</language>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/importance-cross-entropy/0.0.1/</link>
      <description>Tensorflow implementation of the Importance Cross Entropy Loss function pruposed on this paper: https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Niu_Ordinal_Regression_With_CVPR_2016_paper.pdf. Custom metrics were built for MAPE, MAE, and Accuracy. Two loss functions were create one that includes the lambda calculation and one that doesn&#39;t. (repository author: Pedro Jose Carrinho Ribeiro; pedro-carrinho@hotmail.com pedro.carrinho @inl.com).</description>
      <pubDate>Thu, 12 Jun 2025 18:14:13 GMT</pubDate>
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