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@mfeurer mfeurer released this 06 Nov 13:17
· 387 commits to master since this release
v0.11.0
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Learn about vigilant mode.

Version 0.11.0

  • ADD #992: Move ensemble building from being a separate process to a job submitted to the dask cluster. This allows for better control of the memory used in multiprocessing settings. This change also removes the arguments ensemble_memory_limit and ml_memory_limit and replaces them by the single argument memory_limit.
  • FIX #905: Make AutoSklearn2Classifier picklable.
  • FIX #970: Fix a bug where Auto-sklearn would fail if categorical features are passed as a Pandas Dataframe.
  • MAINT #772: Improve error message in case of dummy prediction failure.
  • MAINT #948: Finally use Pandas >= 1.0.
  • MAINT #973: Improve meta-data by running meta-data generation for more time and separately for important metrics.
  • MAINT #997: Improve memory handling in the ensemble building process. This allows building ensembles for larger datasets.

Contributors v0.11.0

  • Matthias Feurer
  • Francisco Rivera
  • Karl Leswing
  • ROHIT AGARWAL
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