A B C E G H I K L M N O P R S T U V W
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A

AbstractKiePMMLTable - Class in org.kie.pmml.models.regression.model

AbstractKiePMMLTable(String, List<KiePMMLExtension>) - Constructor for class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

AbstractKiePMMLTable.Builder<T extends AbstractKiePMMLTable> - Class in org.kie.pmml.models.regression.model

B

builder(String, String, MINING_FUNCTION) - Static method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModel

builder(String, List<KiePMMLExtension>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

builder(String, List<KiePMMLExtension>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

Builder(String, Supplier<T>) - Constructor for class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

Builder(String, List<KiePMMLExtension>) - Constructor for class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

Builder(String, List<KiePMMLExtension>) - Constructor for class org.kie.pmml.models.regression.model.KiePMMLRegressionTable.Builder

byName(String) - Static method in enum org.kie.pmml.models.regression.model.enums.MODEL_TYPE

byName(String) - Static method in enum org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

C

categoricalFunctionMap - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

CAUCHIT - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

CLOGLOG - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

E

equals(Object) - Method in class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

evaluate(Map<String, Object>, PMMLRuntimeContext) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModel

evaluateCategoricalPredictor(Object, Map<String, Double>) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

evaluateNumericWithExponent(double, double, double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

evaluateNumericWithoutExponent(double, double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

evaluateRegression(Map<String, Object>, PMMLRuntimeContext) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

evaluateRegression(Map<String, Object>, PMMLRuntimeContext) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

EXP - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

G

getCategoricalFunctionMap() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

getCategory() - Method in class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

getCategoryTableMap() - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getCAUCHITProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getCLOGLOGProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getIntercept() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

getLOGITProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getName() - Method in enum org.kie.pmml.models.regression.model.enums.MODEL_TYPE

getName() - Method in enum org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

getNONEBinaryProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getNONEProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getNumericFunctionMap() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

getOpType() - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getPredictorTermsFunctionMap() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

getProbabilityMap(LinkedHashMap<String, Double>, DoubleUnaryOperator, DoubleUnaryOperator) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getPROBITProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getRegressionNormalizationMethod() - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getRegressionTable() - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModel

getSIMPLEMAXProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getSOFTMAXProbabilityMap(LinkedHashMap<String, Double>) - Static method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

getSource() - Method in class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

getTargetCategory() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

getTargetField() - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

H

hashCode() - Method in class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

I

intercept - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

isBinary() - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable

A Classification is considered binary if it is of CATEGORICAL type and contains exactly two Regression tables

K

KiePMMLClassificationTable - Class in org.kie.pmml.models.regression.model

KiePMMLClassificationTable.Builder - Class in org.kie.pmml.models.regression.model

KiePMMLRegressionModel - Class in org.kie.pmml.models.regression.model

KiePMMLRegressionModel.Builder - Class in org.kie.pmml.models.regression.model

KiePMMLRegressionTable - Class in org.kie.pmml.models.regression.model

KiePMMLRegressionTable.Builder - Class in org.kie.pmml.models.regression.model

KiePMMLTableSourceCategory - Class in org.kie.pmml.models.regression.model.tuples

Class to represent a table source/table category tupla

KiePMMLTableSourceCategory(String, String) - Constructor for class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

L

LINEAR_REGRESSION - org.kie.pmml.models.regression.model.enums.MODEL_TYPE

LOGISTIC_REGRESSION - org.kie.pmml.models.regression.model.enums.MODEL_TYPE

LOGIT - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

LOGLOG - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

M

MODEL_TYPE - Enum in org.kie.pmml.models.regression.model.enums

N

NONE - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

numericFunctionMap - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

O

org.kie.pmml.models.regression.model - package org.kie.pmml.models.regression.model

org.kie.pmml.models.regression.model.enums - package org.kie.pmml.models.regression.model.enums

org.kie.pmml.models.regression.model.tuples - package org.kie.pmml.models.regression.model.tuples

P

predictorTermsFunctionMap - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

PROBIT - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

R

REGRESSION_NORMALIZATION_METHOD - Enum in org.kie.pmml.models.regression.model.enums

resultUpdater - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

S

SIMPLEMAX - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

SOFTMAX - org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

STEPWISE_POLYNOMIAL_REGRESSION - org.kie.pmml.models.regression.model.enums.MODEL_TYPE

T

targetCategory - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

targetField - Variable in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

toString() - Method in class org.kie.pmml.models.regression.model.tuples.KiePMMLTableSourceCategory

U

updateCAUCHITResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updateCLOGLOGResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updateEXPResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updateLOGITResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updateNONEResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updatePROBITResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

updateSOFTMAXResult(Double) - Static method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

V

valueOf(String) - Static method in enum org.kie.pmml.models.regression.model.enums.MODEL_TYPE

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

valueOf(String) - Static method in enum org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

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

values() - Static method in enum org.kie.pmml.models.regression.model.enums.MODEL_TYPE

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

values() - Static method in enum org.kie.pmml.models.regression.model.enums.REGRESSION_NORMALIZATION_METHOD

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

W

withAbstractKiePMMLTable(AbstractKiePMMLTable) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModel.Builder

withCategoricalFunctionMap(Map<String, SerializableFunction<String, Double>>) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withCategoryTableMap(Map<String, KiePMMLRegressionTable>) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

withIntercept(Double) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withIsBinary(Boolean) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

withNumericFunctionMap(Map<String, SerializableFunction<Double, Double>>) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withOpType(OP_TYPE) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

withPredictorTermsFunctionMap(Map<String, SerializableFunction<Map<String, Object>, Double>>) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withProbabilityMapFunction(SerializableFunction<LinkedHashMap<String, Double>, LinkedHashMap<String, Double>>) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

withRegressionNormalizationMethod(REGRESSION_NORMALIZATION_METHOD) - Method in class org.kie.pmml.models.regression.model.KiePMMLClassificationTable.Builder

withResultUpdater(SerializableFunction<Double, Double>) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withTargetCategory(Object) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

withTargetField(String) - Method in class org.kie.pmml.models.regression.model.AbstractKiePMMLTable.Builder

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