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0.10.3

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@pplonski pplonski released this 01 Apr 15:02
· 371 commits to master since this release

Enhancements

  • #343 set seed in Optuna
  • #344 set eval_metric directly in all algorithms
  • #350 add estimated train time in Optuna mode
  • #342 add optuna_verbose param in AutoML()
  • #354 add KNN in Optuna
  • #356 and Neural Network in Optuna
  • #357, #348 use mljar wrapper for Random Forest and Extra Trees
  • #358 add extra_tree param in LightGBM
  • #359 switch off feature engineering in Optuna mode - only highly tuned models are produced
  • #361 list all eval_metric in error message
  • #362 add accuracy eval_metric
  • #340 support for r2

Bug fixes

  • #347 dont include Optuna tuning time in total_time_limit
  • #360 missing auc scores for training in CatBoost