<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>PyPI recent updates for Panelformer</title>
    <link>https://pypi.org/project/panelformer/</link>
    <description>Recent updates to the Python Package Index for Panelformer</description>
    <language>en</language>    <item>
      <title>0.2.4</title>
      <link>https://pypi.org/project/panelformer/0.2.4/</link>
      <description>A transformer-based architecture for robust panel time series forecasting, extending the Temporal Fusion Transformer with multi-scale decomposition, Segment-wise Attention, cross-entity attention, and adaptive trend-seasonal modeling.</description>
      <pubDate>Thu, 04 Sep 2025 09:09:27 GMT</pubDate>
    </item>    <item>
      <title>0.2.3</title>
      <link>https://pypi.org/project/panelformer/0.2.3/</link>
      <description>A transformer-based architecture for robust panel time series forecasting, extending the Temporal Fusion Transformer with multi-scale decomposition, Segment-wise Attention, cross-entity attention, and adaptive trend-seasonal modeling.</description>
      <pubDate>Sun, 29 Jun 2025 21:12:22 GMT</pubDate>
    </item>    <item>
      <title>0.2.2</title>
      <link>https://pypi.org/project/panelformer/0.2.2/</link>
      <description>A transformer-based architecture for robust panel time series forecasting, extending the Temporal Fusion Transformer with multi-scale decomposition, Segment-wise Attention, cross-entity attention, and adaptive trend-seasonal modeling.</description>
      <pubDate>Sun, 29 Jun 2025 20:17:55 GMT</pubDate>
    </item>    <item>
      <title>0.2.1</title>
      <link>https://pypi.org/project/panelformer/0.2.1/</link>
      <description>A transformer-based architecture for robust panel time series forecasting, extending the Temporal Fusion Transformer with multi-scale decomposition, Segment-wise Attention, cross-entity attention, and adaptive trend-seasonal modeling.</description>
      <pubDate>Sun, 29 Jun 2025 18:50:12 GMT</pubDate>
    </item>  </channel>
</rss>