All Classes

Class	Description
Booster	Booster for xgboost, this is a model API that support interactive build of a XGBoost Model
Booster.FeatureImportanceType	Supported feature importance types WEIGHT = Number of nodes that a feature was used to determine a split GAIN = Average information gain per split for a feature COVER = Average cover per split for a feature TOTAL_GAIN = Total information gain over all splits of a feature TOTAL_COVER = Total cover over all splits of a feature
DMatrix	DMatrix for xgboost.
DMatrix.SparseType	sparse matrix type (CSR or CSC)
IEvaluation	interface for customized evaluation
IObjective	interface for customize Object function
IRabitTracker	Interface for Rabit tracker implementations with three public methods: - start(timeout): Start the Rabit tracker awaiting for worker connections, with a given timeout value (in milliseconds.) - getWorkerEnvs(): Return the environment variables needed to initialize Rabit clients.
IRabitTracker.TrackerStatus
Rabit	Rabit global class for synchronization.
Rabit.DataType
Rabit.OpType
RabitTracker	Java implementation of the Rabit tracker to coordinate distributed workers.
TrackerProperties
XGBoost	trainer for xgboost
XGBoostError	custom error class for xgboost