Bug fixes and features included in this release:
- New converters for linear models (#269)
- Enables batch prediction for PolynomialFeatures (#272)
- Add converter for VotingRegressor (#268)
- Support lightgbm and xgboost model in scikit-learn pipelines (#262)
- Fixed column transformer converter to handle remainder=passthrough (#263)
- Fixes #254 + discrepancies of AdaBoostRegressor (#258)
- Fixes VotingClassifier discrepencies + enable batch predictions (#261)
- Modifies GaussianProcessRegressor to use cdist custom operator (#256)
- Fixed gradient boosting binary classification mismatches (#255)
- Support transformer_weights in ColumnTransformer converter (#250)
- Added GridSearchCV converter (#246)