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All Classes All Packages
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
- BINARY - Static variable in interface org.jpmml.xgboost.testing.XGBoostFormats
- 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
- CATEGORICAL - org.jpmml.xgboost.FeatureMap.Entry.Type
- 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
- configureModel(Map<String, ?>, MiningModel) - Method in class org.jpmml.xgboost.Learner
- configureSchema(Map<String, ?>, Schema) - Method in class org.jpmml.xgboost.Learner
- 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
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
- DEFAULT_TARGET_INDEX - Static variable in class org.jpmml.xgboost.ObjFunction
E
- encodeFeature(Learner, int, PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.CategoricalEntry
- encodeFeature(Learner, int, PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.ContinuousEntry
- encodeFeature(Learner, int, PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.Entry
- encodeFeature(Learner, int, PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap.IndicatorEntry
- encodeFeatureMap() - Method in class org.jpmml.xgboost.Learner
- encodeFeatures(Learner, PMMLEncoder) - Method in class org.jpmml.xgboost.FeatureMap
- encodeLabel(String, List<?>, ModelEncoder) - Method in class org.jpmml.xgboost.Classification
- encodeLabel(String, List<?>, ModelEncoder) - Method in class org.jpmml.xgboost.ObjFunction
- encodeLabel(String, List<?>, ModelEncoder) - Method in class org.jpmml.xgboost.Regression
- encodeLabel(String, List<String>, XGBoostEncoder) - Method in class org.jpmml.xgboost.Learner
- encodeModel(int, List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.Classification
- encodeModel(int, List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.ObjFunction
- encodeModel(Integer, Schema) - Method in class org.jpmml.xgboost.Learner
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.AFT
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.BinomialLogisticRegression
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.GeneralizedLinearRegression
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.HingeClassification
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.LambdaMART
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.LinearRegression
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.LogisticRegression
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.MultinomialLogisticRegression
- encodeModel(List<RegTree>, List<Float>, float[], Integer, Schema) - Method in class org.jpmml.xgboost.ObjFunction
- encodeModel(Map<String, ?>, Schema) - Method in class org.jpmml.xgboost.Learner
- encodeModel(ObjFunction, float[], Integer, Schema) - Method in class org.jpmml.xgboost.GBTree
- 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(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
- FLOAT - org.jpmml.xgboost.FeatureMap.Entry.Type
- forValue(String) - Static method in class org.jpmml.xgboost.ByteOrderUtil
- fromString(String) - Static method in enum org.jpmml.xgboost.FeatureMap.Entry.Type
G
- gbtree() - Method in class org.jpmml.xgboost.Learner
- GBTree - Class in org.jpmml.xgboost
- GBTree() - Constructor for class org.jpmml.xgboost.GBTree
- 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
- getAttribute(String) - Method in class org.jpmml.xgboost.Learner
- getBestIteration() - Method in class org.jpmml.xgboost.Learner
- getBestScore() - Method in class org.jpmml.xgboost.Learner
- getEntries() - Method in class org.jpmml.xgboost.FeatureMap
- getEntries(String) - Method in class org.jpmml.xgboost.FeatureMap
- getFeatureMapPath() - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
- getFormats() - 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
- getValues() - Method in class org.jpmml.xgboost.FeatureMap.CategoricalEntry
- 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
- INDICATOR - org.jpmml.xgboost.FeatureMap.Entry.Type
- IndicatorEntry(String, String, FeatureMap.Entry.Type) - Constructor for class org.jpmml.xgboost.FeatureMap.IndicatorEntry
- INTEGER - org.jpmml.xgboost.FeatureMap.Entry.Type
- 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
- isEmpty() - Method in class org.jpmml.xgboost.FeatureMap
J
- JSON - Static variable in interface org.jpmml.xgboost.testing.XGBoostFormats
- 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(DIS, String) - Method in class org.jpmml.xgboost.Learner
- 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(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(JsonObject) - Method in class org.jpmml.xgboost.RegTree
- loadJSON(InputStream, String, String) - Method in class org.jpmml.xgboost.Learner
- loadLearner(DIS, String, String) - 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
- loadLearner(InputStream, ByteOrder, String, String) - Static method in class org.jpmml.xgboost.XGBoostUtil
- 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(UBObject) - Method in class org.jpmml.xgboost.RegTree
- loadUBJSON(UBObject) - Method in interface org.jpmml.xgboost.UBJSONLoadable
- loadUBJSON(InputStream, String) - Method in class org.jpmml.xgboost.Learner
- 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_parallel_tree() - Method in class org.jpmml.xgboost.GBTree
- 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
- ObjFunction.ProbToMarginFunction - Interface in org.jpmml.xgboost
- 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_INPUT_FLOAT - 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.ObjFunction
- probToMarginFunction() - Method in class org.jpmml.xgboost.AFT
- probToMarginFunction() - Method in class org.jpmml.xgboost.BinomialLogisticRegression
- probToMarginFunction() - Method in class org.jpmml.xgboost.GeneralizedLinearRegression
- probToMarginFunction() - Method in class org.jpmml.xgboost.LogisticRegression
- probToMarginFunction() - Method in class org.jpmml.xgboost.ObjFunction
Q
- QUANTITIVE - org.jpmml.xgboost.FeatureMap.Entry.Type
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
- setFormats(String[]) - Method in class org.jpmml.xgboost.testing.XGBoostEncoderBatch
- 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
- 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
U
- UBJSON - Static variable in interface org.jpmml.xgboost.testing.XGBoostFormats
- UBJSONLoadable - Interface in org.jpmml.xgboost
- UBJSONUtil - Class in org.jpmml.xgboost
- update(FeatureMap) - Method in class org.jpmml.xgboost.FeatureMap
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
- XGBoostFormats - Interface in org.jpmml.xgboost.testing
- XGBoostUtil - Class in org.jpmml.xgboost
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