Releases: IBM/lale
Releases · IBM/lale
Version 0.8.0
- Add support for Python 3.11
- The SMAC hyperoptimization backend is not currently supported on 3.11
- Add support for scikit-learn 1.3 and 1.4
- Update supported versions of numpy, scipy, pandas, xgboost, lightgbm, snapml, and tensorflow
- AIF360 does not currently support numpy>=1.24, so testing for aif360 libraries is done using an older version of numpy
- Fix readthedocs build so our documentation is correctly updated
- Add label encoding to our wrapper for XGBClassifier, since it longer does this.
- Shuffle data in some batching tests to (mostly) avoid problems with encoding
- Remove support for Python 3.7 and scikit-learn < 1.0
- Remove autoai_libs wrappers and tests (they have been moved into the autoai_libs package).
Version 0.7.11
Fix a bug where links from pipeline visualizations to operator documentation did not work.
Version 0.7.10
- guard import of mystic
- add upper bound to tensorflow dependency
- remove protobuf installation version constraint.
Version 0.7.9
- Relax some dependency upper bounds
- Add RandomUnderSampler from imblearn
- Add Orbis and Urbis Mystic implementations
- Add 7 more fairness datasets
- Documentation improvements
- Add wrapper for autoai_libs.nsfa transformer
Version 0.7.8
- Updates to autoai_libs schemas to improve pretty-printing
- Update version of static checkers
Version 0.7.7
- Improvements to CI
- more static checking
- only using trusted actions
- Improvements to aif360 schemas and derived operators
- Update SnapML schemas for new version
- loosen scipy release bounds
0.7.6
0.7.5
0.7.4
0.7.3
- Test-suite improvements such as adding sphinx build
- Documentation improvements: fixed all sphinx warnings
- New operators: TargetEncoder and fairSMOTE
- Bug fixes and support of new schema features such as "transient":"alwaysPrint" to always print a hyperparameter value in pretty_print even if it has default value.