A B C D E F G H I L M N O P R S T X

A

addEntry(String, String) - Method in class org.jpmml.xgboost.FeatureMap

addEntry(FeatureMap.Entry) - Method in class org.jpmml.xgboost.FeatureMap

addInvalidValue(String) - Method in class org.jpmml.xgboost.FeatureMap

addMissingValue(String) - Method in class org.jpmml.xgboost.FeatureMap

addValidValue(String) - Method in class org.jpmml.xgboost.FeatureMap

B

BinomialLogisticRegression - Class in org.jpmml.xgboost

BinomialLogisticRegression() - Constructor for class org.jpmml.xgboost.BinomialLogisticRegression

ByteOrderUtil - Class in org.jpmml.xgboost

C

Classification - Class in org.jpmml.xgboost

Classification(int) - Constructor for class org.jpmml.xgboost.Classification

cleft() - Method in class org.jpmml.xgboost.Node

close() - Method in class org.jpmml.xgboost.XGBoostDataInput

createMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Static method in class org.jpmml.xgboost.ObjFunction

cright() - Method in class org.jpmml.xgboost.Node

D

Dart - Class in org.jpmml.xgboost

Dart() - Constructor for class org.jpmml.xgboost.Dart

default_left() - Method in class org.jpmml.xgboost.Node

E

encodeFeatures(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap

encodeLabel(FieldName, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.Classification

encodeLabel(FieldName, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.ObjFunction

encodeLabel(FieldName, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.Regression

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.BinomialLogisticRegression

encodeMiningModel(ObjFunction, float, Integer, Schema) - Method in class org.jpmml.xgboost.GBTree

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.GeneralizedLinearRegression

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.LambdaMART

encodeMiningModel(Map<String, ?>, Schema) - Method in class org.jpmml.xgboost.Learner

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.LinearRegression

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.LogisticRegression

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.MultinomialLogisticRegression

encodeMiningModel(List<RegTree>, List<Float>, float, Integer, Schema) - Method in class org.jpmml.xgboost.ObjFunction

encodePMML(FieldName, List<String>, FeatureMap, Map<String, ?>) - Method in class org.jpmml.xgboost.Learner

encodeSchema(FieldName, List<String>, FeatureMap, XGBoostEncoder) - Method in class org.jpmml.xgboost.Learner

encodeTreeModel(PredicateManager, Schema) - Method in class org.jpmml.xgboost.RegTree

enterNode(Node) - Method in class org.jpmml.xgboost.visitors.TreeModelCompactor

enterTreeModel(TreeModel) - Method in class org.jpmml.xgboost.visitors.TreeModelCompactor

Entry(String, String, String) - Constructor for class org.jpmml.xgboost.FeatureMap.Entry

exitNode(Node) - Method in class org.jpmml.xgboost.visitors.TreeModelCompactor

exitTreeModel(TreeModel) - Method in class org.jpmml.xgboost.visitors.TreeModelCompactor

F

FeatureMap - Class in org.jpmml.xgboost

FeatureMap() - Constructor for class org.jpmml.xgboost.FeatureMap

FeatureMap.Entry - Class in org.jpmml.xgboost

forValue(String) - Static method in class org.jpmml.xgboost.ByteOrderUtil

G

GBTree - Class in org.jpmml.xgboost

GBTree() - Constructor for class org.jpmml.xgboost.GBTree

GeneralizedLinearRegression - Class in org.jpmml.xgboost

GeneralizedLinearRegression() - Constructor for class org.jpmml.xgboost.GeneralizedLinearRegression

getAlgorithmName() - Method in class org.jpmml.xgboost.Dart

getAlgorithmName() - Method in class org.jpmml.xgboost.GBTree

getAlgorithmName() - Method in class org.jpmml.xgboost.GradientBooster

getEntries() - Method in class org.jpmml.xgboost.FeatureMap

getName() - Method in class org.jpmml.xgboost.FeatureMap.Entry

getNativeConfiguration() - Method in interface org.jpmml.xgboost.HasXGBoostOptions

getType() - Method in class org.jpmml.xgboost.FeatureMap.Entry

getValue() - Method in class org.jpmml.xgboost.FeatureMap.Entry

GradientBooster - Class in org.jpmml.xgboost

GradientBooster() - Constructor for class org.jpmml.xgboost.GradientBooster

H

HasXGBoostOptions - Interface in org.jpmml.xgboost

I

is_leaf() - Method in class org.jpmml.xgboost.Node

L

LambdaMART - Class in org.jpmml.xgboost

LambdaMART() - Constructor for class org.jpmml.xgboost.LambdaMART

leaf_value() - Method in class org.jpmml.xgboost.Node

Learner - Class in org.jpmml.xgboost

Learner() - Constructor for class org.jpmml.xgboost.Learner

LinearRegression - Class in org.jpmml.xgboost

LinearRegression() - Constructor for class org.jpmml.xgboost.LinearRegression

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.Dart

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.GBTree

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.Learner

load(XGBoostDataInput) - Method in interface org.jpmml.xgboost.Loadable

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.Node

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.NodeStat

load(XGBoostDataInput) - Method in class org.jpmml.xgboost.RegTree

Loadable - Interface in org.jpmml.xgboost

loadFeatureMap(InputStream) - Static method in class org.jpmml.xgboost.XGBoostUtil

loadLearner(InputStream) - Static method in class org.jpmml.xgboost.XGBoostUtil

loadLearner(InputStream, ByteOrder, String) - Static method in class org.jpmml.xgboost.XGBoostUtil

LogisticRegression - Class in org.jpmml.xgboost

LogisticRegression() - Constructor for class org.jpmml.xgboost.LogisticRegression

M

Main - Class in org.jpmml.xgboost

Main() - Constructor for class org.jpmml.xgboost.Main

main(String...) - Static method in class org.jpmml.xgboost.Main

MultinomialLogisticRegression - Class in org.jpmml.xgboost

MultinomialLogisticRegression(int) - Constructor for class org.jpmml.xgboost.MultinomialLogisticRegression

N

Node - Class in org.jpmml.xgboost

Node() - Constructor for class org.jpmml.xgboost.Node

NodeStat - Class in org.jpmml.xgboost

NodeStat() - Constructor for class org.jpmml.xgboost.NodeStat

num_class() - Method in class org.jpmml.xgboost.Classification

num_class() - Method in class org.jpmml.xgboost.Learner

num_features() - Method in class org.jpmml.xgboost.Learner

num_trees() - Method in class org.jpmml.xgboost.GBTree

O

obj() - Method in class org.jpmml.xgboost.Learner

ObjFunction - Class in org.jpmml.xgboost

ObjFunction() - Constructor for class org.jpmml.xgboost.ObjFunction

OPTION_BYTE_ORDER - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions

OPTION_CHARSET - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions

OPTION_COMPACT - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions

OPTION_NTREE_LIMIT - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions

org.jpmml.xgboost - package org.jpmml.xgboost

org.jpmml.xgboost.visitors - package org.jpmml.xgboost.visitors

P

PoissonRegression - Class in org.jpmml.xgboost

PoissonRegression() - Constructor for class org.jpmml.xgboost.PoissonRegression

R

readFloat() - Method in class org.jpmml.xgboost.XGBoostDataInput

readFloatArray(int) - Method in class org.jpmml.xgboost.XGBoostDataInput

readFloatVector() - Method in class org.jpmml.xgboost.XGBoostDataInput

readInt() - Method in class org.jpmml.xgboost.XGBoostDataInput

readIntArray(int) - Method in class org.jpmml.xgboost.XGBoostDataInput

readIntVector() - Method in class org.jpmml.xgboost.XGBoostDataInput

readLong() - Method in class org.jpmml.xgboost.XGBoostDataInput

readObjectArray(Class<? extends E>, int) - Method in class org.jpmml.xgboost.XGBoostDataInput

readObjectVector(Class<? extends E>) - Method in class org.jpmml.xgboost.XGBoostDataInput

readReserved(int) - Method in class org.jpmml.xgboost.XGBoostDataInput

readString() - Method in class org.jpmml.xgboost.XGBoostDataInput

readStringArray(int) - Method in class org.jpmml.xgboost.XGBoostDataInput

readStringMap() - Method in class org.jpmml.xgboost.XGBoostDataInput

readStringVector() - Method in class org.jpmml.xgboost.XGBoostDataInput

Regression - Class in org.jpmml.xgboost

Regression() - Constructor for class org.jpmml.xgboost.Regression

RegTree - Class in org.jpmml.xgboost

RegTree() - Constructor for class org.jpmml.xgboost.RegTree

S

split_cond() - Method in class org.jpmml.xgboost.Node

split_index() - Method in class org.jpmml.xgboost.Node

T

toXGBoostSchema(Schema) - Method in class org.jpmml.xgboost.Learner

tree_weights() - Method in class org.jpmml.xgboost.Dart

tree_weights() - Method in class org.jpmml.xgboost.GBTree

TreeModelCompactor - Class in org.jpmml.xgboost.visitors

TreeModelCompactor() - Constructor for class org.jpmml.xgboost.visitors.TreeModelCompactor

trees() - Method in class org.jpmml.xgboost.GBTree

X

XGBoostDataInput - Class in org.jpmml.xgboost

XGBoostDataInput(InputStream, ByteOrder, String) - Constructor for class org.jpmml.xgboost.XGBoostDataInput

XGBoostEncoder - Class in org.jpmml.xgboost

XGBoostEncoder() - Constructor for class org.jpmml.xgboost.XGBoostEncoder

XGBoostUtil - Class in org.jpmml.xgboost

A B C D E F G H I L M N O P R S T X