Python API

This section documents the complete Python API for boosters.

boosters provides two APIs:

• Core API — Full control with explicit configuration (GBDTModel, GBDTConfig, etc.)

• sklearn API — Familiar sklearn-compatible estimators (GBDTRegressor, GBDTClassifier, etc.)

See Choosing an API for guidance on which to use.

Core API

The core API provides full control over model training and configuration.

Models

Dataset	Dataset holding features, labels, and optional metadata.
GBDTModel	Gradient Boosted Decision Tree model.
GBLinearModel	Gradient Boosted Linear model.

Configuration

GBDTConfig	Main configuration for GBDT model.
GBLinearConfig	Main configuration for GBLinear model.
Objective	Objective (loss) functions for gradient boosting.
Metric	Evaluation metrics for gradient boosting.

sklearn API

The sklearn API provides familiar estimators that work with Pipeline, cross_val_score, GridSearchCV, and other sklearn utilities.

GBDTRegressor	Gradient Boosted Decision Tree Regressor.
GBDTClassifier	Gradient Boosted Decision Tree Classifier.
GBLinearRegressor	Gradient Boosted Linear Regressor.
GBLinearClassifier	Gradient Boosted Linear Classifier.