Index

A B C D E F G H I K L M N P R S T U V W X
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

ACCEPTED_TYPES - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

address - Variable in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

allReduce(float[], Communicator.OpType) - Static method in class ml.dmlc.xgboost4j.java.Communicator

perform Allreduce on distributed float vectors using operator op.

B

baseMargin() - Method in class ml.dmlc.xgboost4j.LabeledPoint

BigDenseMatrix - Class in ml.dmlc.xgboost4j.java.util

Off-heap implementation of a Dense Matrix, matrix size is only limited by the amount of the available memory and the matrix dimension cannot exceed Integer.MAX_VALUE (this is consistent with XGBoost API restrictions on maximum length of a response).

BigDenseMatrix(int, int) - Constructor for class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

boost(DMatrix, float[], float[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Deprecated.

boost(DMatrix, int, float[], float[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Update with give grad and hess

Booster - Class in ml.dmlc.xgboost4j.java

Booster for xgboost, this is a model API that support interactive build of an XGBoost Model

Booster.FeatureImportanceType - Class in ml.dmlc.xgboost4j.java

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 - Enum in ml.dmlc.xgboost4j.java

This enumeration defines the type of prediction to be made and is used for inplace predictions.

C

cleanPath() - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

This method cleans all the directories and files that are present in the checkpoint path.

cleanUpHigherVersions(int) - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

This method cleans up all the checkpoint versions that are higher than the current round.

close() - Method in class ml.dmlc.xgboost4j.java.Column

close() - Method in class ml.dmlc.xgboost4j.java.ConfigContext

Column - Class in ml.dmlc.xgboost4j.java

This Column abstraction provides an array interface JSON string, which is used to reconstruct columnar data within the XGBoost library.

Column() - Constructor for class ml.dmlc.xgboost4j.java.Column

ColumnBatch - Class in ml.dmlc.xgboost4j.java

This class wraps multiple Column and provides the array interface json for all columns.

ColumnBatch() - Constructor for class ml.dmlc.xgboost4j.java.ColumnBatch

Communicator - Class in ml.dmlc.xgboost4j.java

Collective communicator global class for synchronization.

Communicator() - Constructor for class ml.dmlc.xgboost4j.java.Communicator

Communicator.DataType - Enum in ml.dmlc.xgboost4j.java

Communicator.OpType - Enum in ml.dmlc.xgboost4j.java

CommunicatorFinalize() - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

CommunicatorGetRank(int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

CommunicatorGetWorldSize(int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

CommunicatorInit(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

communicatorPrint(String) - Static method in class ml.dmlc.xgboost4j.java.Communicator

Print the message via the communicator.

CommunicatorPrint(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

ConfigContext - Class in ml.dmlc.xgboost4j.java

Global configuration context for XGBoost.

ConfigContext() - Constructor for class ml.dmlc.xgboost4j.java.ConfigContext

ConfigContext(Map<String, Object>) - Constructor for class ml.dmlc.xgboost4j.java.ConfigContext

COVER - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

crossValidation(DMatrix, Map<String, Object>, int, int, String[], IObjective, IEvaluation) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Cross-validation with given parameters.

CSC - Enum constant in enum ml.dmlc.xgboost4j.java.DMatrix.SparseType

CSR - Enum constant in enum ml.dmlc.xgboost4j.java.DMatrix.SparseType

CudaSetDevice(int) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

D

DEFAULT_FORMAT - Static variable in class ml.dmlc.xgboost4j.java.Booster

dispose() - Method in class ml.dmlc.xgboost4j.java.Booster

dispose() - Method in class ml.dmlc.xgboost4j.java.DMatrix

dispose() - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

DMatrix - Class in ml.dmlc.xgboost4j.java

DMatrix for xgboost.

DMatrix(float[], int, int) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Deprecated.

Please specify the missing value explicitly using DMatrix(float[],int,int,float)

DMatrix(float[], int, int, float) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

create DMatrix from dense matrix

DMatrix(long) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

used for DMatrix slice

DMatrix(long[], int[], float[], DMatrix.SparseType) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Deprecated.

DMatrix(long[], int[], float[], DMatrix.SparseType, int) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Create DMatrix from Sparse matrix in CSR/CSC format.

DMatrix(long[], int[], float[], DMatrix.SparseType, int, float, int) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

DMatrix(String) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Create DMatrix by loading libsvm file from dataPath

DMatrix(Iterator<LabeledPoint>, String) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Create DMatrix from iterator.

DMatrix(Iterator<LabeledPoint>, String, float) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Create DMatrix from iterator.

DMatrix(ColumnBatch, float, int) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

Create the normal DMatrix from column array interface

DMatrix(BigDenseMatrix) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

create DMatrix from a BigDenseMatrix

DMatrix(BigDenseMatrix, float) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix

create DMatrix from dense matrix

DMatrix.QuantileCut - Class in ml.dmlc.xgboost4j.java

A class to hold the quantile information

DMatrix.SparseType - Enum in ml.dmlc.xgboost4j.java

sparse matrix type (CSR or CSC)

E

equals(Object) - Method in class ml.dmlc.xgboost4j.LabeledPoint

eval(float[][], DMatrix) - Method in interface ml.dmlc.xgboost4j.java.IEvaluation

evaluate with predicts and data

evalSet(DMatrix[], String[], int) - Method in class ml.dmlc.xgboost4j.java.Booster

Evaluate the Booster model with given dmatrixs.

evalSet(DMatrix[], String[], int, float[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Evaluate the Booster model with given dmatrixs.

evalSet(DMatrix[], String[], IEvaluation) - Method in class ml.dmlc.xgboost4j.java.Booster

Evaluate the Booster model given customized Evaluation class

evalSet(DMatrix[], String[], IEvaluation, float[]) - Method in class ml.dmlc.xgboost4j.java.Booster

ExternalCheckpointManager - Class in ml.dmlc.xgboost4j.java

This class contains the methods that are required for managing the state of the training process.

ExternalCheckpointManager(String, FileSystem) - Constructor for class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

This constructor creates a new Expternal Checkpoint Manager at the specified path in the specified file system.

F

FeatureImportanceType() - Constructor for class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

finalize() - Method in class ml.dmlc.xgboost4j.java.Booster

finalize() - Method in class ml.dmlc.xgboost4j.java.DMatrix

FLOAT16 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

FLOAT32 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

FLOAT64 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

G

GAIN - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

get(int, int) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

get(long) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

getAttr(String) - Method in class ml.dmlc.xgboost4j.java.Booster

Get attribute value from the Booster based on the key provided.

getAttrs() - Method in class ml.dmlc.xgboost4j.java.Booster

Get attributes stored in the Booster as a Map.

getBaseMargin() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get base margin of the DMatrix.

getCheckpointRounds(int, int, int) - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

Get a list of iterations that need checkpointing.

getConfig(String) - Method in class ml.dmlc.xgboost4j.java.ConfigContext

getDirect(long) - Static method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

getEnumOp() - Method in enum ml.dmlc.xgboost4j.java.Communicator.DataType

getFeatureNames() - Method in class ml.dmlc.xgboost4j.java.Booster

Get all the feature names from the Booster.

getFeatureNames() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get feature names

getFeatureScore(String) - Method in class ml.dmlc.xgboost4j.java.Booster

Get importance of each feature

getFeatureScore(String[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Get importance of each feature with specified feature names.

getFeatureTypes() - Method in class ml.dmlc.xgboost4j.java.Booster

Get feature types from the Booster.

getFeatureTypes() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get feature types

getGradient(float[][], DMatrix) - Method in interface ml.dmlc.xgboost4j.java.IObjective

user define objective function, return gradient and second order gradient

getGroup() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get group sizes of DMatrix

getHandle() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get the handle

getIndptr() - Method in class ml.dmlc.xgboost4j.java.DMatrix.QuantileCut

getLabel() - Method in class ml.dmlc.xgboost4j.java.DMatrix

get label values

getMetric() - Method in interface ml.dmlc.xgboost4j.java.IEvaluation

get evaluate metric

getModelDump(String[], boolean) - Method in class ml.dmlc.xgboost4j.java.Booster

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

Get the dump of the model as a string array with specified feature map, stats, and the specified format.

getModelDump(String, boolean) - Method in class ml.dmlc.xgboost4j.java.Booster

Get the dump of the model as a string array

getModelDump(String, boolean, String) - Method in class ml.dmlc.xgboost4j.java.Booster

Get the dump of the model as a string array with specified feature map, stats, and the specified format.

getNumBoostedRound() - Method in class ml.dmlc.xgboost4j.java.Booster

getNumFeature() - Method in class ml.dmlc.xgboost4j.java.Booster

Get number of model features.

getOperand() - Method in enum ml.dmlc.xgboost4j.java.Communicator.OpType

getPType() - Method in enum ml.dmlc.xgboost4j.java.Booster.PredictionType

getQuantileCut() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get the Quantile Cut.

getRank() - Static method in class ml.dmlc.xgboost4j.java.Communicator

get rank of current thread.

getScore(String[], String) - Method in class ml.dmlc.xgboost4j.java.Booster

Get the feature importances for gain or cover (average or total)

getScore(String, String) - Method in class ml.dmlc.xgboost4j.java.Booster

Get the feature importances for gain or cover (average or total), with feature names

getSize() - Method in enum ml.dmlc.xgboost4j.java.Communicator.DataType

getValues() - Method in class ml.dmlc.xgboost4j.java.DMatrix.QuantileCut

getWeight() - Method in class ml.dmlc.xgboost4j.java.DMatrix

get weight of the DMatrix

getWorkerArgs() - Method in interface ml.dmlc.xgboost4j.java.ITracker

getWorkerArgs() - Method in class ml.dmlc.xgboost4j.java.RabitTracker

Get environments that can be used to pass to worker.

getWorldSize() - Static method in class ml.dmlc.xgboost4j.java.Communicator

get world size of current job.

group() - Method in class ml.dmlc.xgboost4j.LabeledPoint

H

handle - Variable in class ml.dmlc.xgboost4j.java.DMatrix

hashCode() - Method in class ml.dmlc.xgboost4j.LabeledPoint

I

IEvaluation - Interface in ml.dmlc.xgboost4j.java

interface for customized evaluation

indices() - Method in class ml.dmlc.xgboost4j.LabeledPoint

init(Map<String, Object>) - Static method in class ml.dmlc.xgboost4j.java.Communicator

Initialize the collective communicator on current working thread.

inplace_predict(float[], int, int, float) - Method in class ml.dmlc.xgboost4j.java.Booster

Perform thread-safe prediction.

inplace_predict(float[], int, int, float, int[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Perform thread-safe prediction.

inplace_predict(float[], int, int, float, int[], Booster.PredictionType, float[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Perform thread-safe prediction.

INT16 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

INT32 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

INT64 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

INT8 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

IObjective - Interface in ml.dmlc.xgboost4j.java

interface for customize Object function

isMaximizeEvaluation(String, String[], Map<String, Object>) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Decides whether the evaluation metrics are to be maximized or not.

ITracker - Interface in ml.dmlc.xgboost4j.java

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)

K

kMargin - Enum constant in enum ml.dmlc.xgboost4j.java.Booster.PredictionType

kValue - Enum constant in enum ml.dmlc.xgboost4j.java.Booster.PredictionType

L

label() - Method in class ml.dmlc.xgboost4j.LabeledPoint

LabeledPoint - Class in ml.dmlc.xgboost4j

Labeled training data point.

LabeledPoint(float, int, int[], float[]) - Constructor for class ml.dmlc.xgboost4j.LabeledPoint

LabeledPoint(float, int, int[], float[], float) - Constructor for class ml.dmlc.xgboost4j.LabeledPoint

LabeledPoint(float, int, int[], float[], float, int) - Constructor for class ml.dmlc.xgboost4j.LabeledPoint

LabeledPoint(float, int, int[], float[], float, int, float) - Constructor for class ml.dmlc.xgboost4j.LabeledPoint

loadCheckpointAsBooster() - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

Read the checkpoint from the checkpoint path.

loadModel(byte[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Load a new Booster model from a byte array buffer.

loadModel(InputStream) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Load a new Booster model from a file opened as input stream.

loadModel(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

load model from modelPath

M

MAX - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.OpType

MAX_MATRIX_SIZE - Static variable in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

MAXIMIZ_METRICES - Static variable in class ml.dmlc.xgboost4j.java.XGBoost

MIN - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.OpType

ml.dmlc.xgboost4j - package ml.dmlc.xgboost4j

ml.dmlc.xgboost4j.java - package ml.dmlc.xgboost4j.java

ml.dmlc.xgboost4j.java.util - package ml.dmlc.xgboost4j.java.util

N

ncol - Variable in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

nonMissingNum() - Method in class ml.dmlc.xgboost4j.java.DMatrix

Get the number of non-missing values of DMatrix.

nrow - Variable in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

P

predict(DMatrix) - Method in class ml.dmlc.xgboost4j.java.Booster

Make a prediction with test data in a DMatrix format.

predict(DMatrix, boolean) - Method in class ml.dmlc.xgboost4j.java.Booster

Make a prediction with test data in a DMatrix format and output margin.

predict(DMatrix, boolean, int) - Method in class ml.dmlc.xgboost4j.java.Booster

Advanced predict function with all the options.

predictContrib(DMatrix, int) - Method in class ml.dmlc.xgboost4j.java.Booster

Output feature contributions toward predictions of given data

predictLeaf(DMatrix, int) - Method in class ml.dmlc.xgboost4j.java.Booster

Predict leaf indices given the data

R

RabitTracker - Class in ml.dmlc.xgboost4j.java

Java implementation of the Rabit tracker to coordinate distributed workers.

RabitTracker(int) - Constructor for class ml.dmlc.xgboost4j.java.RabitTracker

RabitTracker(int, String) - Constructor for class ml.dmlc.xgboost4j.java.RabitTracker

RabitTracker(int, String, int, int) - Constructor for class ml.dmlc.xgboost4j.java.RabitTracker

read(Kryo, Input) - Method in class ml.dmlc.xgboost4j.java.Booster

rowNum() - Method in class ml.dmlc.xgboost4j.java.DMatrix

get the row number of DMatrix

S

saveBinary(String) - Method in class ml.dmlc.xgboost4j.java.DMatrix

save DMatrix to filePath

saveModel(OutputStream) - Method in class ml.dmlc.xgboost4j.java.Booster

Save the model to file opened as output stream.

saveModel(OutputStream, String) - Method in class ml.dmlc.xgboost4j.java.Booster

Save the model to file opened as output stream.

saveModel(String) - Method in class ml.dmlc.xgboost4j.java.Booster

Save model to modelPath

set(int, int, float) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

set(long, float) - Method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

setAttr(String, String) - Method in class ml.dmlc.xgboost4j.java.Booster

Set an attribute key-value pair to the Booster.

setAttrs(Map<String, String>) - Method in class ml.dmlc.xgboost4j.java.Booster

Set multiple attribute key-value pairs to the Booster.

setBaseMargin(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set base margin (initial prediction).

setBaseMargin(float[][]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set base margin (initial prediction).

setBaseMargin(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set base margin of DMatrix from array interface

setConfig(String, Object) - Method in class ml.dmlc.xgboost4j.java.ConfigContext

Set one single configuration

setConfigs(Map<String, Object>) - Method in class ml.dmlc.xgboost4j.java.ConfigContext

Set a bunch of configurations

setDirect(long, float) - Static method in class ml.dmlc.xgboost4j.java.util.BigDenseMatrix

setFeatureNames(String[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Set feature names to the Booster.

setFeatureNames(String[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set feature names

setFeatureTypes(String[]) - Method in class ml.dmlc.xgboost4j.java.Booster

Set feature types to the Booster.

setFeatureTypes(String[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set feature types

setGroup(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set group sizes of DMatrix (used for ranking)

setLabel(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

set label of dmatrix

setLabel(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set label of DMatrix from array interface

setParam(String, Object) - Method in class ml.dmlc.xgboost4j.java.Booster

Set parameter to the Booster.

setParams(Map<String, Object>) - Method in class ml.dmlc.xgboost4j.java.Booster

Set parameters to the Booster.

setQueryId(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set query ids (used for ranking)

setQueryId(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set query id of DMatrix from array interface

setWeight(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

set weight of each instance

setWeight(Column) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Set weight of DMatrix from array interface

shutdown() - Static method in class ml.dmlc.xgboost4j.java.Communicator

Shutdown the communicator in current working thread, equals to finalize.

size() - Method in class ml.dmlc.xgboost4j.LabeledPoint

slice(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix

Slice the DMatrix and return a new DMatrix that only contains `rowIndex`.

start() - Method in interface ml.dmlc.xgboost4j.java.ITracker

start() - Method in class ml.dmlc.xgboost4j.java.RabitTracker

stop() - Method in interface ml.dmlc.xgboost4j.java.ITracker

stop() - Method in class ml.dmlc.xgboost4j.java.RabitTracker

SUM - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.OpType

T

toByteArray() - Method in class ml.dmlc.xgboost4j.java.Booster

Save model into raw byte array in the UBJSON ("ubj") format.

toByteArray(String) - Method in class ml.dmlc.xgboost4j.java.Booster

Save model into raw byte array.

toFeaturesJson() - Method in class ml.dmlc.xgboost4j.java.ColumnBatch

Get features cuda array interface json string

toJson() - Method in class ml.dmlc.xgboost4j.java.Column

Return array interface json string for this Column

TOTAL_COVER - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

TOTAL_GAIN - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

TrackerCreate(String, int, int, int, long, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

TrackerFree(long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

TrackerRun(long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

TrackerWaitFor(long, long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

TrackerWorkerArgs(long, long, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

train(DMatrix, Map<String, Object>, int, Map<String, DMatrix>, float[][], IObjective, IEvaluation, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Train a booster given parameters.

train(DMatrix, Map<String, Object>, int, Map<String, DMatrix>, float[][], IObjective, IEvaluation, int, Booster) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Train a booster given parameters.

train(DMatrix, Map<String, Object>, int, Map<String, DMatrix>, IObjective, IEvaluation) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

Train a booster given parameters.

trainAndSaveCheckpoint(DMatrix, Map<String, Object>, int, Map<String, DMatrix>, float[][], IObjective, IEvaluation, int, Booster, int, String, FileSystem) - Static method in class ml.dmlc.xgboost4j.java.XGBoost

U

UINT16 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

UINT32 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

UINT64 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

UINT8 - Enum constant in enum ml.dmlc.xgboost4j.java.Communicator.DataType

uncaughtException(Thread, Throwable) - Method in class ml.dmlc.xgboost4j.java.RabitTracker

update(DMatrix, int) - Method in class ml.dmlc.xgboost4j.java.Booster

Update the booster for one iteration.

update(DMatrix, int, IObjective) - Method in class ml.dmlc.xgboost4j.java.Booster

Update with customize object functon

update(DMatrix, IObjective) - Method in class ml.dmlc.xgboost4j.java.Booster

Deprecated.

updateCheckpoint(Booster) - Method in class ml.dmlc.xgboost4j.java.ExternalCheckpointManager

This method updates the booster checkpoint to the the latest or current version and deleted all the previous versions of the checkpoint.

UtilUnsafe - Class in ml.dmlc.xgboost4j.java.util

Simple class to obtain access to the Unsafe object.

V

valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.Booster.PredictionType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.Communicator.DataType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.Communicator.OpType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.DMatrix.SparseType

Returns the enum constant of this type with the specified name.

values() - Static method in enum ml.dmlc.xgboost4j.java.Booster.PredictionType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ml.dmlc.xgboost4j.java.Communicator.DataType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ml.dmlc.xgboost4j.java.Communicator.OpType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum ml.dmlc.xgboost4j.java.DMatrix.SparseType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Method in class ml.dmlc.xgboost4j.LabeledPoint

W

waitFor(long) - Method in interface ml.dmlc.xgboost4j.java.ITracker

waitFor(long) - Method in class ml.dmlc.xgboost4j.java.RabitTracker

weight() - Method in class ml.dmlc.xgboost4j.LabeledPoint

WEIGHT - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType

write(Kryo, Output) - Method in class ml.dmlc.xgboost4j.java.Booster

X

XGBGetGlobalConfig(String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBGetLastError() - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoost - Class in ml.dmlc.xgboost4j.java

trainer for xgboost

XGBoost() - Constructor for class ml.dmlc.xgboost4j.java.XGBoost

XGBoosterCreate(long[], long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterDumpModelEx(long, String, int, String, String[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterDumpModelExWithFeatures(long, String[], int, String, String[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterEvalOneIter(long, int, long[], String[], String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterFree(long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterGetAttr(long, String, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterGetAttrNames(long, String[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterGetNumBoostedRound(long, int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterGetNumFeature(long, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterGetStrFeatureInfo(long, String, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterLoadModel(long, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterLoadModelFromBuffer(long, byte[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterPredict(long, long, int, int, float[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterPredictFromDense(long, float[], long, long, float, int, int, int, float[], float[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoostError - Exception in ml.dmlc.xgboost4j.java

custom error class for xgboost

XGBoostError(String) - Constructor for exception ml.dmlc.xgboost4j.java.XGBoostError

XGBoostError(String, Throwable) - Constructor for exception ml.dmlc.xgboost4j.java.XGBoostError

XGBoosterSaveModel(long, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterSaveModelToBuffer(long, String, byte[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterSetAttr(long, String, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterSetParam(long, String, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterSetStrFeatureInfo(long, String, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterTrainOneIter(long, long, int, float[], float[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoosterUpdateOneIter(long, int, long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBoostJNI - Class in ml.dmlc.xgboost4j.java

xgboost JNI functions change 2015-7-6: *use a long[] (length=1) as container of handle to get the output DMatrix or Booster

XGBoostJNI() - Constructor for class ml.dmlc.xgboost4j.java.XGBoostJNI

XGBSetGlobalConfig(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromArrayInterfaceColumns(String, float, int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromCSC(long[], int[], float[], int, float, int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromCSR(long[], int[], float[], int, float, int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromFile(String, int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromMat(float[], int, int, float, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixCreateFromMatRef(long, int, int, float, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixFree(long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixGetFloatInfo(long, String, float[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixGetQuantileCut(long, long[][], float[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixGetStrFeatureInfo(long, String, long[], String[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixGetUIntInfo(long, String, int[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixNumNonMissing(long, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixNumRow(long, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixSaveBinary(long, String, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixSetFloatInfo(long, String, float[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixSetInfoFromInterface(long, String, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixSetStrFeatureInfo(long, String, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

Set the feature information

XGDMatrixSetUIntInfo(long, String, int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGDMatrixSliceDMatrix(long, int[], long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGExtMemQuantileDMatrixCreateFromCallback(Iterator<ColumnBatch>, long[], String, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

XGQuantileDMatrixCreateFromCallback(Iterator<ColumnBatch>, long[], String, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI

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