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    <title>PyPI recent updates for scale-forecasting</title>
    <link>https://pypi.org/project/scale-forecasting/</link>
    <description>Recent updates to the Python Package Index for scale-forecasting</description>
    <language>en</language>    <item>
      <title>1.2.1</title>
      <link>https://pypi.org/project/scale-forecasting/1.2.1/</link>
      <description>Time-series forecasting on Google Cloud at any scale: one JSON configuration runs every model family on Dataproc Serverless, Ray, Vertex AI, GKE, Compute Engine, or BigQuery ML and writes forecasts and leaderboards back to BigQuery.</description>
      <pubDate>Wed, 14 Oct 2026 20:34:06 GMT</pubDate>
    </item>    <item>
      <title>1.2.0</title>
      <link>https://pypi.org/project/scale-forecasting/1.2.0/</link>
      <description>Time-series forecasting on Google Cloud at any scale: one JSON configuration runs every model family on Dataproc Serverless, Ray, Vertex AI, GKE, Compute Engine, or BigQuery ML and writes forecasts and leaderboards back to BigQuery.</description>
      <pubDate>Wed, 14 Oct 2026 16:00:04 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/scale-forecasting/1.1.0/</link>
      <description>Time-series forecasting on Google Cloud at any scale: one JSON configuration runs every model family on Dataproc Serverless, Ray, Vertex AI, GKE, Compute Engine, or BigQuery ML and writes forecasts and leaderboards back to BigQuery.</description>
      <pubDate>Tue, 13 Oct 2026 15:17:06 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/scale-forecasting/1.0.0/</link>
      <description>Time-series forecasting on Google Cloud at any scale: one JSON configuration runs every model family on Dataproc Serverless, Ray, Vertex AI, GKE, Compute Engine, or BigQuery ML and writes forecasts and leaderboards back to BigQuery.</description>
      <pubDate>Mon, 12 Oct 2026 21:08:20 GMT</pubDate>
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