Version 0.12.3
- FIX #1061: Fixes a bug where the model could not be printed in a jupyter notebook.
- FIX #1075: Fixes a bug where the ensemble builder would wrongly prune good models for loss functions (i.e. functions that need to be minimized such as
logloss
ormean_squared_error
. - FIX #1079: Fixes a bug where
AutoMLClassifier.cv_results
andAutoMLRegressor.cv_results
could rank results in opposite order for loss functions (i.e. functions that need to be minimized such aslogloss
ormean_squared_error
. - FIX: Fixes a bug in offline meta-data generation that could lead to a deadlock.
- MAINT #1076: Uses the correct multiprocessing context for computing meta-features
- MAINT: Cleanup readme and main directory
Contributors v0.12.3
- Matthias Feurer
- ROHIT AGARWAL
- Francisco Rivera