Release: PyCaret 2.3.1 | Release Date: April 28, 2021 (SEVERAL BUGS FIXED)
Summary of Changes
- Fixed an exception with missing variables (display_container etc.) during load_config()
- Fixed exceptions when using Ridge and RF estimators with cuML (GPU mode)
- Fixed PyCaret's cuML wrappers not being pickleable
- Added an extra check to get_all_object_vars_and_properties internal method, fixing exceptions with certain estimators
- save_model() now supports kwargs, which will be passed to joblib.dump()
- Fixed an issue with load_model() from AWS (duplicate .pkl extension) - thanks to markgrujic (#1128)
- Fixed a typo in documentation - thanks to koorukuroo (#1149)
- Optimized Fix_multicollinearity transformer, drastically reducing the size of the saved pipeline
- interpret_model() now supports data passed as an argument - thanks to jbechtel (#1184)
- Removed
infer_signature
from MLflow logging whenlog_experiment=True
. - Fixed a rare issue where binary_multiclass_score_func was not pickleable
- Fixed edge case exceptions in feature selection
- Fixed an exception with
finalize_model
when using GroupKFold CV - Pinned
mlxtend>=0.17.0
,imbalanced-learn==0.7.0
, andgensim<4.0.0