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

A

addSourceMap(String, String) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

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

E

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

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

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

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

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

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

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

getKModulePackageName() - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

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

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

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

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

getOutputFieldsMap() - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

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

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

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

getProbabilityMap(LinkedHashMap<String, Double>, DoubleUnaryOperator, DoubleUnaryOperator) - 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

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

getSourcesMap() - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

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() - 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

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

KiePMMLRegressionModelWithSources(String, String, Map<String, String>) - Constructor for class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

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

M

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

N

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

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

P

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

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

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

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

S

sourcesMap - Variable in class org.kie.pmml.models.regression.model.KiePMMLRegressionModelWithSources

T

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

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

U

updateResult(AtomicReference<Double>) - Method in class org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

updateResult(AtomicReference<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.

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