github microsoft/FLAML v1.0.10

latest releases: v2.1.1, v2.1.0, v2.0.3...
18 months ago

This release contains several new features to highlight:

  • A major new feature is to support multiple time series in one dataset with a new task named "ts_forecast_panel" and a neural network estimator from pytorch-forecast.
  • Allow disabling shuffle for custom splitter.
  • Allow explicit specification of whether the choices of a hp have an inherent order.
  • Allow skipping data transformation to avoid overhead.
  • Support AzureML pipeline tuning.
  • Allow log file name to be specified in and perform logging when ray is used.

There are other improvements for the transformer estimator and bug fixes for config constraints.

What's Changed

New Contributors

Full Changelog: v1.0.9...v1.0.10

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