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Version 0.7.0

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@mfeurer mfeurer released this 07 May 20:36
· 491 commits to master since this release
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Version 0.7.0

  • ADD #785: user control to reduce the hard drive memory required to store ensembles
  • ADD #794: iterative fit for gradient boosting
  • ADD #795: add successive halving evaluation strategy
  • ADD #814: new sklearn.metrics.balanced_accuracy_score instead of custom metric
  • ADD #815: new experimental evaluation mode called iterative_cv
  • MAINT #774: move from scikit-learn 0.21.X to 0.22.X
  • MAINT #791: move from smac 0.8 to 0.12
  • MAINT #822: make autosklearn modules PEP8 compliant
  • FIX #733: fix for n_jobs=-1
  • FIX #739: remove unnecessary warning
  • FIX ##769: fixed error in calculation of meta features
  • FIX #778: support for python 3.8
  • FIX #781: support for pandas 1.x

Contributors

  • Andrew Nader
  • Gui Miotto
  • Julian Berman
  • Katharina Eggensperger
  • Matthias Feurer
  • Maximilian Peters
  • Rong-Inspur
  • Valentin Geffrier
  • Francisco Rivera