Nyoka

Latest version: v5.5.0

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5.5.0

* 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.

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