* Added support for xgboost till version 1.7.6 * Added support for statsmodels till version 0.14.0 * Added support for scikit-learn till version 1.3.0
5.4.0
- Added a custom exporter to convert pipeline with XGBoost models to PMML.
5.3.0
- Added algorithmName="randomForest" attribute as part of MiningModel element for Random Forest models (PR - 56) - Added the derived fields defined in the TransformationDictionary section of the MiningModel as MiningFields within each of the Segment models for Random Forest models (PR - 57)
5.2.0
* Added support for xgboost 1.x.x version (till 1.5.2) 53
5.1.0
Performance Improvement * Improved performance of xgboost exporter to a greater extend (PR - 50)
5.0.1
Bug fix * 39 - For LightGBM exporter * Tree node split threshold is now converted from float64 to float32 for scikit-learn's tree based models.