Index

A B C D E F G H I L M N O 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
 
addTrackerProperties(String) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
aggCVResults(String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
Aggregate cross-validation results.
allReduce(float[], Rabit.OpType) - Static method in class ml.dmlc.xgboost4j.java.Rabit
perform Allreduce on distributed float vectors using operator op.

B

base - Variable in class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
BatchIterator(Iterator<LabeledPoint>, int) - Constructor for class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
batchSize - Variable in class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
BITWISE_OR - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 
boost(DMatrix, float[], float[]) - Method in class ml.dmlc.xgboost4j.java.Booster
update with give grad and hess
booster - Variable in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
 
Booster - Class in ml.dmlc.xgboost4j.java
Booster for xgboost, this is a model API that support interactive build of a XGBoost Model
Booster(Map<String, Object>, DMatrix[]) - Constructor for class ml.dmlc.xgboost4j.java.Booster
Create a new Booster with empty stage.
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

C

CHAR - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
checkCall(int) - Static method in class ml.dmlc.xgboost4j.java.Rabit
 
checkCall(int) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
Check the return code of the JNI call.
COVER - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
createTempFileFromResource(String) - Static method in class ml.dmlc.xgboost4j.java.NativeLibLoader
Create a temp file that copies the resource from current JAR archive
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
 
CVPack(DMatrix, DMatrix, Map<String, Object>) - Constructor for class ml.dmlc.xgboost4j.java.XGBoost.CVPack
create an cross validation package

D

DataBatch - Class in ml.dmlc.xgboost4j.java
A mini-batch of data that can be converted to DMatrix.
DataBatch(long[], float[], float[], int[], float[]) - Constructor for class ml.dmlc.xgboost4j.java.DataBatch
 
DataBatch.BatchIterator - Class in ml.dmlc.xgboost4j.java
 
DataType(int, int) - Constructor for enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
dispose() - Method in class ml.dmlc.xgboost4j.java.Booster
 
dispose() - Method in class ml.dmlc.xgboost4j.java.DMatrix
 
DMatrix - Class in ml.dmlc.xgboost4j.java
DMatrix for xgboost.
DMatrix(float[], int, int) - Constructor for class ml.dmlc.xgboost4j.java.DMatrix
create DMatrix from dense matrix
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(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.SparseType - Enum in ml.dmlc.xgboost4j.java
sparse matrix type (CSR or CSC)
dmatrixsToHandles(DMatrix[]) - Static method in class ml.dmlc.xgboost4j.java.Booster
transfer DMatrix array to handle array (used for native functions)
dmats - Variable in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
 
DOUBLE - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
dtest - Variable in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
 
dtrain - Variable in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
 

E

enumOp - Variable in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
envs - Variable in class ml.dmlc.xgboost4j.java.RabitTracker
 
eval(float[][], DMatrix) - Method in interface ml.dmlc.xgboost4j.java.IEvaluation
evaluate with predicts and data
eval(int) - Method in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
evaluation
eval(IEvaluation) - Method in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
evaluation
evalSet(DMatrix[], String[], int) - Method in class ml.dmlc.xgboost4j.java.Booster
evaluate with given dmatrixs.
evalSet(DMatrix[], String[], int, float[]) - Method in class ml.dmlc.xgboost4j.java.Booster
evaluate with given dmatrixs.
evalSet(DMatrix[], String[], IEvaluation) - Method in class ml.dmlc.xgboost4j.java.Booster
evaluate with given customized Evaluation class
evalSet(DMatrix[], String[], IEvaluation, float[]) - Method in class ml.dmlc.xgboost4j.java.Booster
 

F

FAILURE - Enum constant in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
FeatureImportanceType() - Constructor for class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
featureIndex - Variable in class ml.dmlc.xgboost4j.java.DataBatch
index of each feature(column) in the sparse matrix
featureValue - Variable in class ml.dmlc.xgboost4j.java.DataBatch
value of each non-missing entry in the sparse matrix
finalize() - Method in class ml.dmlc.xgboost4j.java.Booster
 
finalize() - Method in class ml.dmlc.xgboost4j.java.DMatrix
 
flatten(float[][]) - Static method in class ml.dmlc.xgboost4j.java.DMatrix
flatten a mat to array
FLOAT - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 

G

GAIN - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
genRandPermutationNums(int, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
 
getAttr(String) - Method in class ml.dmlc.xgboost4j.java.Booster
Get attribute from the Booster.
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.
getDumpInfo(boolean) - Method in class ml.dmlc.xgboost4j.java.Booster
Save the model as byte array representation.
getEnumOp() - Method in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
getFeatureImportanceFromModel(String[], String) - Method in class ml.dmlc.xgboost4j.java.Booster
Get the importance of each feature based on information gain or cover
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.
getFeatureWeightsFromModel(String[]) - Method in class ml.dmlc.xgboost4j.java.Booster
Get the importance of each feature based purely on weights (number of splits)
getFloatInfo(String) - Method in class ml.dmlc.xgboost4j.java.DMatrix
 
getGradient(float[][], DMatrix) - Method in interface ml.dmlc.xgboost4j.java.IObjective
user define objective function, return gradient and second order gradient
getHandle() - Method in class ml.dmlc.xgboost4j.java.DMatrix
Get the handle
getHostIp() - Method in class ml.dmlc.xgboost4j.java.TrackerProperties
 
getInstance() - Static method in class ml.dmlc.xgboost4j.java.TrackerProperties
 
getIntInfo(String) - Method in class ml.dmlc.xgboost4j.java.DMatrix
 
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
 
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
 
getOperand() - Method in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 
getRank() - Static method in class ml.dmlc.xgboost4j.java.Rabit
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.Rabit.DataType
 
getStatusCode() - Method in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
getVersion() - Method in class ml.dmlc.xgboost4j.java.Booster
 
getWeight() - Method in class ml.dmlc.xgboost4j.java.DMatrix
get weight of the DMatrix
getWorkerEnvs() - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
 
getWorkerEnvs() - 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.Rabit
get world size of current job.

H

handle - Variable in class ml.dmlc.xgboost4j.java.Booster
 
handle - Variable in class ml.dmlc.xgboost4j.java.DMatrix
 
hasNext() - Method in class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
HOST_IP - Static variable in class ml.dmlc.xgboost4j.java.TrackerProperties
 

I

IEvaluation - Interface in ml.dmlc.xgboost4j.java
interface for customized evaluation
init(Map<String, String>) - Static method in class ml.dmlc.xgboost4j.java.Rabit
Initialize the rabit library on current working thread.
init(DMatrix[]) - Method in class ml.dmlc.xgboost4j.java.Booster
Internal initialization function.
initialized - Static variable in class ml.dmlc.xgboost4j.java.NativeLibLoader
 
initTrackerPy() - Static method in class ml.dmlc.xgboost4j.java.RabitTracker
 
initXGBoost() - Static method in class ml.dmlc.xgboost4j.java.NativeLibLoader
 
instance - Static variable in class ml.dmlc.xgboost4j.java.TrackerProperties
 
INT - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
INTERRUPTED - Enum constant in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
IObjective - Interface in ml.dmlc.xgboost4j.java
interface for customize Object function
IRabitTracker - Interface in ml.dmlc.xgboost4j.java
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 - Enum in ml.dmlc.xgboost4j.java
 
isMaximizeEvaluation(Map<String, Object>) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
 

L

label - Variable in class ml.dmlc.xgboost4j.java.DataBatch
label of each data point, can be null
libNames - Static variable in class ml.dmlc.xgboost4j.java.NativeLibLoader
 
loadEnvs(InputStream) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
loadLibraryFromJar(String) - Static method in class ml.dmlc.xgboost4j.java.NativeLibLoader
Loads library from current JAR archive
loadModel(InputStream) - Static method in class ml.dmlc.xgboost4j.java.Booster
Load a new Booster model from a file opened as input stream.
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.Booster
Load a new Booster model from modelPath
loadModel(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
load model from modelPath
loadRabitCheckpoint() - Method in class ml.dmlc.xgboost4j.java.Booster
Load the booster model from thread-local rabit checkpoint.
logger - Static variable in class ml.dmlc.xgboost4j.java.Booster
 
logger - Static variable in class ml.dmlc.xgboost4j.java.DataBatch
 
logger - Static variable in class ml.dmlc.xgboost4j.java.NativeLibLoader
 
logger - Static variable in class ml.dmlc.xgboost4j.java.RabitTracker
 
logger - Static variable in class ml.dmlc.xgboost4j.java.TrackerProperties
 
logger - Static variable in class ml.dmlc.xgboost4j.java.XGBoost
 
logger - Static variable in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
LONG - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
LONGLONG - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 

M

makeNFold(DMatrix, int, Map<String, Object>, String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
make an n-fold array of CVPack from random indices
MAX - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 
MIN - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 
ml.dmlc.xgboost4j.java - package ml.dmlc.xgboost4j.java
 

N

names - Variable in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
 
NativeLibLoader - Class in ml.dmlc.xgboost4j.java
class to load native library
NativeLibLoader() - Constructor for class ml.dmlc.xgboost4j.java.NativeLibLoader
 
nativeResourcePath - Static variable in class ml.dmlc.xgboost4j.java.NativeLibLoader
 
next() - Method in class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
numWorkers - Variable in class ml.dmlc.xgboost4j.java.RabitTracker
 

O

op - Variable in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 
OpType(int) - Constructor for enum ml.dmlc.xgboost4j.java.Rabit.OpType
 

P

predict(DMatrix) - Method in class ml.dmlc.xgboost4j.java.Booster
Predict with data
predict(DMatrix, boolean) - Method in class ml.dmlc.xgboost4j.java.Booster
Predict with data
predict(DMatrix, boolean, int) - Method in class ml.dmlc.xgboost4j.java.Booster
Advanced predict function with all the options.
predict(DMatrix, boolean, int, boolean, boolean) - 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
properties - Variable in class ml.dmlc.xgboost4j.java.TrackerProperties
 
PROPERTIES_FILENAME - Static variable in class ml.dmlc.xgboost4j.java.TrackerProperties
 

R

Rabit - Class in ml.dmlc.xgboost4j.java
Rabit global class for synchronization.
Rabit() - Constructor for class ml.dmlc.xgboost4j.java.Rabit
 
Rabit.DataType - Enum in ml.dmlc.xgboost4j.java
 
Rabit.OpType - Enum in ml.dmlc.xgboost4j.java
 
RabitAllreduce(ByteBuffer, int, int, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
RabitFinalize() - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
RabitGetRank(int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
RabitGetWorldSize(int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
RabitInit(String[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
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.TrackerProcessLogger - Class in ml.dmlc.xgboost4j.java
Tracker logger that logs output from tracker.
RabitTrackerPrint(String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
RabitVersionNumber(int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
read(Kryo, Input) - Method in class ml.dmlc.xgboost4j.java.Booster
 
readObject(ObjectInputStream) - Method in class ml.dmlc.xgboost4j.java.Booster
 
remove() - Method in class ml.dmlc.xgboost4j.java.DataBatch.BatchIterator
 
rowNum() - Method in class ml.dmlc.xgboost4j.java.DMatrix
get the row number of DMatrix
rowOffset - Variable in class ml.dmlc.xgboost4j.java.DataBatch
The offset of each rows in the sparse matrix
run() - Method in class ml.dmlc.xgboost4j.java.RabitTracker.TrackerProcessLogger
 

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(String) - Method in class ml.dmlc.xgboost4j.java.Booster
Save model to modelPath
saveRabitCheckpoint() - Method in class ml.dmlc.xgboost4j.java.Booster
Save the booster model into thread-local rabit checkpoint and increment the version.
setAttr(String, String) - Method in class ml.dmlc.xgboost4j.java.Booster
Set attribute to the Booster.
setAttrs(Map<String, String>) - Method in class ml.dmlc.xgboost4j.java.Booster
Set attributes 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).
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
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.
setVersion(int) - Method in class ml.dmlc.xgboost4j.java.Booster
 
setWeight(float[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
set weight of each instance
shouldEarlyStop(int, int, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
 
shouldPrint(Map<String, Object>, int) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
 
shutdown() - Static method in class ml.dmlc.xgboost4j.java.Rabit
Shutdown the rabit engine in current working thread, equals to finalize.
size - Variable in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
slice(int[]) - Method in class ml.dmlc.xgboost4j.java.DMatrix
Slice the DMatrix and return a new DMatrix that only contains `rowIndex`.
SparseType() - Constructor for enum ml.dmlc.xgboost4j.java.DMatrix.SparseType
 
start(long) - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
 
start(long) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
startTrackerProcess() - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
statusCode - Variable in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
stop() - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
 
stop() - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
SUCCESS - Enum constant in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
SUM - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.OpType
 

T

TIMEOUT - Enum constant in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
toByteArray() - Method in class ml.dmlc.xgboost4j.java.Booster
 
TOTAL_COVER - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
TOTAL_GAIN - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
tracker_py - Static variable in class ml.dmlc.xgboost4j.java.RabitTracker
 
trackerPrint(String) - Static method in class ml.dmlc.xgboost4j.java.Rabit
Print the message on rabit tracker.
trackerProcess - Variable in class ml.dmlc.xgboost4j.java.RabitTracker
 
TrackerProcessLogger() - Constructor for class ml.dmlc.xgboost4j.java.RabitTracker.TrackerProcessLogger
 
trackerProperties - Static variable in class ml.dmlc.xgboost4j.java.RabitTracker
 
TrackerProperties - Class in ml.dmlc.xgboost4j.java
 
TrackerProperties() - Constructor for class ml.dmlc.xgboost4j.java.TrackerProperties
 
TrackerStatus(int) - Constructor for enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
 
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.
tryGetIntFromObject(Object) - Static method in class ml.dmlc.xgboost4j.java.XGBoost
 

U

UCHAR - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
ULONG - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
ULONGLONG - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
uncaughtException(Thread, Throwable) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
UNIT - Enum constant in enum ml.dmlc.xgboost4j.java.Rabit.DataType
 
update(int) - Method in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
update one iteration
update(DMatrix, int) - Method in class ml.dmlc.xgboost4j.java.Booster
Update the booster for one iteration.
update(DMatrix, IObjective) - Method in class ml.dmlc.xgboost4j.java.Booster
Update with customize obj func
update(IObjective) - Method in class ml.dmlc.xgboost4j.java.XGBoost.CVPack
update one iteration

V

valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.DMatrix.SparseType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.Rabit.DataType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum ml.dmlc.xgboost4j.java.Rabit.OpType
Returns the enum constant of this type with the specified name.
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() - Static method in enum ml.dmlc.xgboost4j.java.IRabitTracker.TrackerStatus
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.Rabit.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.Rabit.OpType
Returns an array containing the constants of this enum type, in the order they are declared.
version - Variable in class ml.dmlc.xgboost4j.java.Booster
 
versionNumber() - Static method in class ml.dmlc.xgboost4j.java.Rabit
Get version number of current stored model in the thread.

W

waitFor(long) - Method in interface ml.dmlc.xgboost4j.java.IRabitTracker
 
waitFor(long) - Method in class ml.dmlc.xgboost4j.java.RabitTracker
 
weight - Variable in class ml.dmlc.xgboost4j.java.DataBatch
weight of each data point, can be null
WEIGHT - Static variable in class ml.dmlc.xgboost4j.java.Booster.FeatureImportanceType
 
write(Kryo, Output) - Method in class ml.dmlc.xgboost4j.java.Booster
 
writeObject(ObjectOutputStream) - Method in class ml.dmlc.xgboost4j.java.Booster
 

X

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
 
XGBoost.CVPack - Class in ml.dmlc.xgboost4j.java
cross validation package for xgb
XGBoosterBoostOneIter(long, long, float[], float[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
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
 
XGBoosterGetModelRaw(long, byte[][]) - 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
 
XGBoosterLoadRabitCheckpoint(long, int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGBoosterPredict(long, long, int, int, 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
 
XGBoosterSaveModel(long, String) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGBoosterSaveRabitCheckpoint(long) - 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
 
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
 
XGDMatrixCreateFromCSCEx(long[], int[], float[], int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGDMatrixCreateFromCSREx(long[], int[], float[], int, long[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGDMatrixCreateFromDataIter(Iterator<DataBatch>, String, 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
 
XGDMatrixFree(long) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGDMatrixGetFloatInfo(long, String, float[][]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
XGDMatrixGetUIntInfo(long, String, int[][]) - 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
 
XGDMatrixSetGroup(long, int[]) - Static method in class ml.dmlc.xgboost4j.java.XGBoostJNI
 
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
 
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