Package ml.dmlc.xgboost4j.java

package ml.dmlc.xgboost4j.java

Related Packages

Package	Description
ml.dmlc.xgboost4j
ml.dmlc.xgboost4j.java.util

Class	Description
Booster	Booster for xgboost, this is a model API that support interactive build of an 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
Booster.PredictionType	This enumeration defines the type of prediction to be made and is used for inplace predictions.
Column	This Column abstraction provides an array interface JSON string, which is used to reconstruct columnar data within the XGBoost library.
ColumnBatch	This class wraps multiple Column and provides the array interface json for all columns.
Communicator	Collective communicator global class for synchronization.
Communicator.DataType
Communicator.OpType
ConfigContext	Global configuration context for XGBoost.
DMatrix	DMatrix for xgboost.
DMatrix.SparseType	sparse matrix type (CSR or CSC)
ExternalCheckpointManager	This class contains the methods that are required for managing the state of the training process.
IEvaluation	interface for customized evaluation
IObjective	interface for customize Object function
ITracker	Interface for a tracker implementations with three public methods: - start(timeout): Start the tracker awaiting for worker connections, with a given timeout value (in seconds)
RabitTracker	Java implementation of the Rabit tracker to coordinate distributed workers.
XGBoost	trainer for xgboost
XGBoostError	custom error class for xgboost
XGBoostJNI	xgboost JNI functions change 2015-7-6: *use a long[] (length=1) as container of handle to get the output DMatrix or Booster