API Reference manual
High level function and modelling objects
Specific functions and modeling for each supported ML object:
- Scikit-learn regression models
- Linear Regression Constraint
- Partial Least Square Regression Constraint
- Logistic Regression Constraint
- Centroid Based Clustering Constraint
- Decision Tree Regressor Constraint
- Gradient Boosting Regressor Constraint
- Random Forest Constraint
- Pipeline Constraint
- Support Vector Constraint
- MLP Constraint
- MultiOutput Constraint
- Scikit-Learn Helper
- Pytorch Sequential Network Constraint
- Keras Model / Keras Sequential Network Constraint
- ONNX ModelProto Constraint
- XGBoost Constraint
- LightGBM Constraint