Expand description
Gradient Boosting implementation
This module provides comprehensive gradient boosting algorithms including XGBoost, LightGBM, and CatBoost-compatible implementations with histogram-based tree building, ensemble methods, and advanced boosting strategies.
Structs§
- Feature
Importance Metrics - Feature importance metrics
- Gradient
Boosting Classifier - Gradient Boosting Classifier
- Gradient
Boosting Classifier Builder - Builder for GradientBoostingClassifier
- Gradient
Boosting Config - Gradient boosting configuration
- Gradient
Boosting Regressor - Gradient Boosting Regressor
- Gradient
Boosting Regressor Builder - Builder for GradientBoostingRegressor
- Trained
Gradient Boosting Classifier - Trained Gradient Boosting Classifier
- Trained
Gradient Boosting Regressor - Trained Gradient Boosting Regressor
Enums§
- Gradient
Boosting Tree - Types of gradient boosting trees
- Loss
Function - Loss functions for gradient boosting