Skip navigation links
A B C D E F G H I J L M N O P R S T U V 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
 
AFT - Class in org.jpmml.xgboost
 
AFT(String) - Constructor for class org.jpmml.xgboost.AFT
 

B

BinaryLoadable - Interface in org.jpmml.xgboost
 
BinaryNode - Class in org.jpmml.xgboost
 
BinaryNode() - Constructor for class org.jpmml.xgboost.BinaryNode
 
BinaryNodeStat - Class in org.jpmml.xgboost
 
BinaryNodeStat() - Constructor for class org.jpmml.xgboost.BinaryNodeStat
 
BINF_HEADER - Static variable in class org.jpmml.xgboost.XGBoostUtil
 
BinomialLogisticRegression - Class in org.jpmml.xgboost
 
BinomialLogisticRegression(String) - Constructor for class org.jpmml.xgboost.BinomialLogisticRegression
 
ByteOrderUtil - Class in org.jpmml.xgboost
 

C

CategoricalEntry(String, FeatureMap.Entry.Type) - Constructor for class org.jpmml.xgboost.FeatureMap.CategoricalEntry
 
Classification - Class in org.jpmml.xgboost
 
Classification(String, int) - Constructor for class org.jpmml.xgboost.Classification
 
close() - Method in class org.jpmml.xgboost.XGBoostDataInput
 
ContinuousEntry(String, FeatureMap.Entry.Type) - Constructor for class org.jpmml.xgboost.FeatureMap.ContinuousEntry
 
createBatch(String, String, Predicate<ResultField>, Equivalence<Object>) - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatchTest
 
createMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Static method in class org.jpmml.xgboost.ObjFunction
 

D

Dart - Class in org.jpmml.xgboost
 
Dart() - Constructor for class org.jpmml.xgboost.Dart
 
default_left() - Method in class org.jpmml.xgboost.BinaryNode
 
default_left() - Method in class org.jpmml.xgboost.JSONNode
 
default_left() - Method in class org.jpmml.xgboost.Node
 

E

encodeFeature(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.CategoricalEntry
 
encodeFeature(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.ContinuousEntry
 
encodeFeature(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.Entry
 
encodeFeature(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.IndicatorEntry
 
encodeFeatureMap() - Method in class org.jpmml.xgboost.Learner
 
encodeFeatures(PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap
 
encodeLabel(String, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.Classification
 
encodeLabel(String, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.ObjFunction
 
encodeLabel(String, List<?>, PMMLEncoder) - Method in class org.jpmml.xgboost.Regression
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.AFT
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.BinomialLogisticRegression
 
encodeMiningModel(ObjFunction, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.GBTree
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.GeneralizedLinearRegression
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.HingeClassification
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, 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, boolean, Schema) - Method in class org.jpmml.xgboost.LinearRegression
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.LogisticRegression
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.MultinomialLogisticRegression
 
encodeMiningModel(List<RegTree>, List<Float>, float, Integer, boolean, Schema) - Method in class org.jpmml.xgboost.ObjFunction
 
encodePMML(Map<String, ?>, String, List<String>, FeatureMap) - Method in class org.jpmml.xgboost.Learner
 
encodeSchema(String, List<String>, FeatureMap, XGBoostEncoder) - Method in class org.jpmml.xgboost.Learner
 
encodeTreeModel(boolean, 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, FeatureMap.Entry.Type) - 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.CategoricalEntry - Class in org.jpmml.xgboost
 
FeatureMap.ContinuousEntry - Class in org.jpmml.xgboost
 
FeatureMap.Entry - Class in org.jpmml.xgboost
 
FeatureMap.Entry.Type - Enum in org.jpmml.xgboost
 
FeatureMap.IndicatorEntry - Class in org.jpmml.xgboost
 
forValue(String) - Static method in class org.jpmml.xgboost.ByteOrderUtil
 
fromString(String) - Static method in enum org.jpmml.xgboost.FeatureMap.Entry.Type
 

G

GBTree - Class in org.jpmml.xgboost
 
GBTree() - Constructor for class org.jpmml.xgboost.GBTree
 
gbtree() - Method in class org.jpmml.xgboost.Learner
 
GeneralizedLinearRegression - Class in org.jpmml.xgboost
 
GeneralizedLinearRegression(String) - Constructor for class org.jpmml.xgboost.GeneralizedLinearRegression
 
get_split_categories() - Method in class org.jpmml.xgboost.BinaryNode
 
get_split_categories() - Method in class org.jpmml.xgboost.JSONNode
 
get_split_categories() - Method in class org.jpmml.xgboost.Node
 
getAlgorithmName() - Method in class org.jpmml.xgboost.Dart
 
getAlgorithmName() - Method in class org.jpmml.xgboost.GBTree
 
getAlgorithmName() - Method in class org.jpmml.xgboost.GradientBooster
 
getArchiveBatchTest() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getEntries() - Method in class org.jpmml.xgboost.FeatureMap
 
getFeatureMapPath() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getInputCsvPath() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getLeafValue() - Method in class org.jpmml.xgboost.RegTree
 
getLearnerPath(String) - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getName() - Method in class org.jpmml.xgboost.FeatureMap.Entry
 
getName() - Method in class org.jpmml.xgboost.ObjFunction
 
getNativeConfiguration() - Method in interface org.jpmml.xgboost.HasXGBoostOptions
 
getOptionsMatrix() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getOutputCsvPath() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getPMML() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
getSplitCategories(int) - Method in class org.jpmml.xgboost.GBTree
 
getSplitCategories(int) - Method in class org.jpmml.xgboost.RegTree
 
getSplitType(int) - Method in class org.jpmml.xgboost.GBTree
 
getSplitType(int) - Method in class org.jpmml.xgboost.RegTree
 
getType() - Method in class org.jpmml.xgboost.FeatureMap.Entry
 
getValue() - Method in class org.jpmml.xgboost.FeatureMap.IndicatorEntry
 
GradientBooster - Class in org.jpmml.xgboost
 
GradientBooster() - Constructor for class org.jpmml.xgboost.GradientBooster
 

H

hasCategoricalSplits() - Method in class org.jpmml.xgboost.GBTree
 
hasCategoricalSplits() - Method in class org.jpmml.xgboost.RegTree
 
HasXGBoostOptions - Interface in org.jpmml.xgboost
 
HingeClassification - Class in org.jpmml.xgboost
 
HingeClassification(String) - Constructor for class org.jpmml.xgboost.HingeClassification
 

I

IndicatorEntry(String, String, FeatureMap.Entry.Type) - Constructor for class org.jpmml.xgboost.FeatureMap.IndicatorEntry
 
inverseExp(float) - Static method in class org.jpmml.xgboost.ObjFunction
 
inverseLogit(float) - Static method in class org.jpmml.xgboost.ObjFunction
 
is_leaf() - Method in class org.jpmml.xgboost.BinaryNode
 
is_leaf() - Method in class org.jpmml.xgboost.JSONNode
 
is_leaf() - Method in class org.jpmml.xgboost.Node
 

J

JSONLoadable - Interface in org.jpmml.xgboost
 
JSONNode - Class in org.jpmml.xgboost
 
JSONNode() - Constructor for class org.jpmml.xgboost.JSONNode
 

L

LambdaMART - Class in org.jpmml.xgboost
 
LambdaMART(String) - Constructor for class org.jpmml.xgboost.LambdaMART
 
leaf_value() - Method in class org.jpmml.xgboost.BinaryNode
 
leaf_value() - Method in class org.jpmml.xgboost.JSONNode
 
leaf_value() - Method in class org.jpmml.xgboost.Node
 
Learner - Class in org.jpmml.xgboost
 
Learner() - Constructor for class org.jpmml.xgboost.Learner
 
left_child() - Method in class org.jpmml.xgboost.BinaryNode
 
left_child() - Method in class org.jpmml.xgboost.JSONNode
 
left_child() - Method in class org.jpmml.xgboost.Node
 
LinearRegression - Class in org.jpmml.xgboost
 
LinearRegression(String) - Constructor for class org.jpmml.xgboost.LinearRegression
 
loadBinary(XGBoostDataInput) - Method in interface org.jpmml.xgboost.BinaryLoadable
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.BinaryNode
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.BinaryNodeStat
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.Dart
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.GBTree
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.Learner
 
loadBinary(DIS, String) - Method in class org.jpmml.xgboost.Learner
 
loadBinary(XGBoostDataInput) - Method in class org.jpmml.xgboost.RegTree
 
loadFeatureMap(InputStream) - Static method in class org.jpmml.xgboost.XGBoostUtil
 
loadJSON(JsonObject) - Method in class org.jpmml.xgboost.Dart
 
loadJSON(JsonObject) - Method in class org.jpmml.xgboost.GBTree
 
loadJSON(JsonObject) - Method in interface org.jpmml.xgboost.JSONLoadable
 
loadJSON(JsonObject) - Method in class org.jpmml.xgboost.JSONNode
 
loadJSON(JsonObject) - Method in class org.jpmml.xgboost.Learner
 
loadJSON(InputStream, String, String) - Method in class org.jpmml.xgboost.Learner
 
loadJSON(JsonObject) - Method in class org.jpmml.xgboost.RegTree
 
loadLearner(InputStream) - Static method in class org.jpmml.xgboost.XGBoostUtil
 
loadLearner(InputStream, ByteOrder, String) - Static method in class org.jpmml.xgboost.XGBoostUtil
 
loadLearner(InputStream, ByteOrder, String, String) - Static method in class org.jpmml.xgboost.XGBoostUtil
 
loadLearner(DIS, String, String) - Static method in class org.jpmml.xgboost.XGBoostUtil
 
loadPMML(String, String) - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
loadUBJSON(UBObject) - Method in class org.jpmml.xgboost.Dart
 
loadUBJSON(UBObject) - Method in class org.jpmml.xgboost.GBTree
 
loadUBJSON(UBObject) - Method in class org.jpmml.xgboost.JSONNode
 
loadUBJSON(UBObject) - Method in class org.jpmml.xgboost.Learner
 
loadUBJSON(InputStream, String) - Method in class org.jpmml.xgboost.Learner
 
loadUBJSON(UBObject) - Method in class org.jpmml.xgboost.RegTree
 
loadUBJSON(UBObject) - Method in interface org.jpmml.xgboost.UBJSONLoadable
 
LogisticRegression - Class in org.jpmml.xgboost
 
LogisticRegression(String) - Constructor for class org.jpmml.xgboost.LogisticRegression
 

M

MultinomialLogisticRegression - Class in org.jpmml.xgboost
 
MultinomialLogisticRegression(String, 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_feature() - 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(String) - 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_MISSING - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions
 
OPTION_NTREE_LIMIT - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions
 
OPTION_NUMERIC - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions
 
OPTION_PRUNE - Static variable in interface org.jpmml.xgboost.HasXGBoostOptions
 
org.jpmml.xgboost - package org.jpmml.xgboost
 
org.jpmml.xgboost.testing - package org.jpmml.xgboost.testing
 
org.jpmml.xgboost.visitors - package org.jpmml.xgboost.visitors
 

P

PoissonRegression - Class in org.jpmml.xgboost
 
PoissonRegression(String) - Constructor for class org.jpmml.xgboost.PoissonRegression
 
probToMargin(float) - Method in class org.jpmml.xgboost.AFT
 
probToMargin(float) - Method in class org.jpmml.xgboost.BinomialLogisticRegression
 
probToMargin(float) - Method in class org.jpmml.xgboost.GeneralizedLinearRegression
 
probToMargin(float) - Method in class org.jpmml.xgboost.LogisticRegression
 
probToMargin(float) - Method in class org.jpmml.xgboost.ObjFunction
 

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(String) - Constructor for class org.jpmml.xgboost.Regression
 
RegTree - Class in org.jpmml.xgboost
 
RegTree() - Constructor for class org.jpmml.xgboost.RegTree
 
right_child() - Method in class org.jpmml.xgboost.BinaryNode
 
right_child() - Method in class org.jpmml.xgboost.JSONNode
 
right_child() - Method in class org.jpmml.xgboost.Node
 

S

SERIALIZATION_HEADER - Static variable in class org.jpmml.xgboost.XGBoostUtil
 
SPLIT_CATEGORICAL - Static variable in class org.jpmml.xgboost.Node
 
split_cond() - Method in class org.jpmml.xgboost.BinaryNode
 
split_cond() - Method in class org.jpmml.xgboost.JSONNode
 
split_cond() - Method in class org.jpmml.xgboost.Node
 
split_index() - Method in class org.jpmml.xgboost.BinaryNode
 
split_index() - Method in class org.jpmml.xgboost.JSONNode
 
split_index() - Method in class org.jpmml.xgboost.Node
 
SPLIT_NUMERICAL - Static variable in class org.jpmml.xgboost.Node
 
split_type() - Method in class org.jpmml.xgboost.BinaryNode
 
split_type() - Method in class org.jpmml.xgboost.JSONNode
 
split_type() - Method in class org.jpmml.xgboost.Node
 

T

toBooleanArray(UBValue) - Static method in class org.jpmml.xgboost.UBJSONUtil
 
toFloatArray(UBValue) - Static method in class org.jpmml.xgboost.UBJSONUtil
 
toIntArray(UBValue) - Static method in class org.jpmml.xgboost.UBJSONUtil
 
toStringArray(UBValue) - Static method in class org.jpmml.xgboost.UBJSONUtil
 
toValueFilteredSchema(Number, Schema) - Method in class org.jpmml.xgboost.Learner
 
toXGBoostSchema(boolean, 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
 

U

UBJSONLoadable - Interface in org.jpmml.xgboost
 
UBJSONUtil - Class in org.jpmml.xgboost
 

V

valueOf(String) - Static method in enum org.jpmml.xgboost.FeatureMap.Entry.Type
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.jpmml.xgboost.FeatureMap.Entry.Type
Returns an array containing the constants of this enum type, in the order they are declared.

X

XGBoostDataInput - Class in org.jpmml.xgboost
 
XGBoostDataInput(InputStream, String) - Constructor for class org.jpmml.xgboost.XGBoostDataInput
 
XGBoostEncoder - Class in org.jpmml.xgboost
 
XGBoostEncoder() - Constructor for class org.jpmml.xgboost.XGBoostEncoder
 
XGBoostEncoderBatch - Class in org.jpmml.xgboost.testing
 
XGBoostEncoderBatch(String, String, Predicate<ResultField>, Equivalence<Object>) - Constructor for class org.jpmml.xgboost.testing.XGBoostEncoderBatch
 
XGBoostEncoderBatchTest - Class in org.jpmml.xgboost.testing
 
XGBoostEncoderBatchTest(Equivalence<Object>) - Constructor for class org.jpmml.xgboost.testing.XGBoostEncoderBatchTest
 
XGBoostUtil - Class in org.jpmml.xgboost
 
A B C D E F G H I J L M N O P R S T U V X 
Skip navigation links

Copyright © 2023. All rights reserved.