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B

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.KiePMMLRegressionTable

categoryTableMap - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

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

evaluateNumericWithExponent(double, double, double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

evaluateNumericWithoutExponent(double, double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

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

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

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

G

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

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

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

getCAUCHITProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

getCLOGLOGProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

getLOGITProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

getNONEProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

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

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

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

getPROBITProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

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

getSIMPLEMAXProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

getSOFTMAXProbabilityMap(LinkedHashMap<String, Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

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

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

H

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

I

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

isBinary - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

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

K

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

KiePMMLRegressionClassificationTable() - Constructor for class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

KiePMMLRegressionModel(String) - Constructor for class org.kie.pmml.models.regression.model.KiePMMLRegressionModel

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

KiePMMLRegressionTable() - Constructor for class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

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.KiePMMLRegressionTable

O

opType - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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.KiePMMLRegressionTable

probabilityMapFunction - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

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

R

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

regressionNormalizationMethod - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

regressionTable - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionModel

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

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.KiePMMLRegressionTable

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

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

U

updateCAUCHITResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updateCLOGLOGResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updateEXPResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updateLOGITResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updateNONEResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updatePROBITResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

updateSOFTMAXResult(Double) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionTable

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.

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