- GAIN - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
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- get(long) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- get(int, int) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- getArrayInterfaceJson() - Method in class ml.dmlc.xgboost4j.java.Column
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Get the cuda array interface json string for the Column which can be representing
weight, label, base margin column.
- getArrayInterfaceJson() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch
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Get the cuda array interface json string for the whole ColumnBatch including
the must-have feature, label columns and the optional weight, base margin columns.
- getAttr(String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get attribute from the Booster.
- getAttrs() - Method in class ml.dmlc.xgboost4j.java.Booster
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Get attributes stored in the Booster as a Map.
- getBaseMargin() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Get base margin of the DMatrix.
- getBaseMarginsArrayInterface() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch
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Get the cuda array interface of the base margin columns.
- getCheckpointRounds(int, int) - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager
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- getDirect(long) - Static method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- getEnumOp() - Method in enum ml.dmlc.xgboost4j.java.Communicator.DataType
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- getFeatureArrayInterface() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch
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Get the cuda array interface of the feature columns.
- getFeatureNames() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Get feature names
- getFeatureScore(String[]) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get importance of each feature with specified feature names.
- getFeatureScore(String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get importance of each feature
- getFeatureTypes() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Get feature types
- getGradient(float[][], DMatrix) - Method in interface ml.dmlc.xgboost4j.java.IObjective
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user define objective function, return gradient and second order gradient
- getGroup() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Get group sizes of DMatrix
- getHandle() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Get the handle
- getHostIp() - Method in class ml.dmlc.xgboost4j.java.TrackerProperties
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- getInstance() - Static method in class ml.dmlc.xgboost4j.java.TrackerProperties
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- getLabel() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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get label values
- getLabelsArrayInterface() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch
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Get the cuda array interface of the label columns.
- getMetric() - Method in interface ml.dmlc.xgboost4j.java.IEvaluation
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get evaluate metric
- getModelDump(String, boolean) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get the dump of the model as a string array
- getModelDump(String, boolean, String) - Method in class ml.dmlc.xgboost4j.java.Booster
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- getModelDump(String[], boolean) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get the dump of the model as a string array with specified feature names.
- getModelDump(String[], boolean, String) - Method in class ml.dmlc.xgboost4j.java.Booster
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- getNumFeature() - Method in class ml.dmlc.xgboost4j.java.Booster
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Get number of model features.
- getOperand() - Method in enum ml.dmlc.xgboost4j.java.Communicator.OpType
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- getRabitTrackerCommand() - Method in class ml.dmlc.xgboost4j.java.RabitTracker
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visible for testing
- getRank() - Static method in class ml.dmlc.xgboost4j.java.Communicator
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get rank of current thread.
- getScore(String[], String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get the feature importances for gain or cover (average or total)
- getScore(String, String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Get the feature importances for gain or cover (average or total), with feature names
- getSize() - Method in enum ml.dmlc.xgboost4j.java.Communicator.DataType
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- getStatusCode() - Method in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
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- getVersion() - Method in class ml.dmlc.xgboost4j.java.Booster
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- getWeight() - Method in class ml.dmlc.xgboost4j.java.DMatrix
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get weight of the DMatrix
- getWeightsArrayInterface() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch
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Get the cuda array interface of the weight columns.
- getWorkerEnvs() - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
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- getWorkerEnvs() - Method in class ml.dmlc.xgboost4j.java.RabitTracker
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Get environments that can be used to pass to worker.
- getWorldSize() - Static method in class ml.dmlc.xgboost4j.java.Communicator
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get world size of current job.
- saveBinary(String) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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save DMatrix to filePath
- saveModel(String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Save model to modelPath
- saveModel(OutputStream) - Method in class ml.dmlc.xgboost4j.java.Booster
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Save the model to file opened as output stream.
- saveModel(OutputStream, String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Save the model to file opened as output stream.
- set(long, float) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- set(int, int, float) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- setAttr(String, String) - Method in class ml.dmlc.xgboost4j.java.Booster
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Set attribute to the Booster.
- setAttrs(Map<String, String>) - Method in class ml.dmlc.xgboost4j.java.Booster
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Set attributes to the Booster.
- setBaseMargin(Column) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setBaseMargin(float[]) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setBaseMargin(float[][]) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setBaseMargin(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set base margin of DMatrix from cuda array interface
- setBaseMargin(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set base margin (initial prediction).
- setBaseMargin(float[][]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set base margin (initial prediction).
- setDirect(long, float) - Static method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix
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- setFeatureNames(String[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set feature names
- setFeatureTypes(String[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set feature types
- setGroup(int[]) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setGroup(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set group sizes of DMatrix (used for ranking)
- setLabel(Column) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setLabel(float[]) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setLabel(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set label of DMatrix from cuda array interface
- setLabel(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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set label of dmatrix
- setParam(String, Object) - Method in class ml.dmlc.xgboost4j.java.Booster
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Set parameter to the Booster.
- setParams(Map<String, Object>) - Method in class ml.dmlc.xgboost4j.java.Booster
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Set parameters to the Booster.
- setVersion(int) - Method in class ml.dmlc.xgboost4j.java.Booster
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- setWeight(Column) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setWeight(float[]) - Method in class ml.dmlc.xgboost4j.java.DeviceQuantileDMatrix
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- setWeight(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Set weight of DMatrix from cuda array interface
- setWeight(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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set weight of each instance
- shutdown() - Static method in class ml.dmlc.xgboost4j.java.Communicator
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Shutdown the communicator in current working thread, equals to finalize.
- slice(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
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Slice the DMatrix and return a new DMatrix that only contains `rowIndex`.
- start(long) - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
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- start(long) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
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- stop() - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
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- stop() - Method in class ml.dmlc.xgboost4j.java.RabitTracker
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