Package org.kie.pmml.models.regression.model

Class KiePMMLClassificationTable

java.lang.Object

org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent

org.kie.pmml.models.regression.model.AbstractKiePMMLTable

org.kie.pmml.models.regression.model.KiePMMLClassificationTable

All Implemented Interfaces:

Serializable

public final class KiePMMLClassificationTable
extends AbstractKiePMMLTable

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	KiePMMLClassificationTable.Builder

Field Summary

Fields inherited from class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

categoricalFunctionMap, intercept, numericFunctionMap, predictorTermsFunctionMap, resultUpdater, targetCategory, targetField

Fields inherited from class org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent

extensions, id, name, parentId

Method Summary

Modifier and Type	Method	Description
static KiePMMLClassificationTable.Builder	builder(String name, List<org.kie.pmml.commons.model.KiePMMLExtension> extensions)
Object	evaluateRegression(Map<String,Object> input, org.kie.pmml.api.runtime.PMMLContext context)
Map<String,KiePMMLRegressionTable>	getCategoryTableMap()
static LinkedHashMap<String,Double>	getCAUCHITProbabilityMap(LinkedHashMap<String,Double> resultMap)
static LinkedHashMap<String,Double>	getCLOGLOGProbabilityMap(LinkedHashMap<String,Double> resultMap)
static LinkedHashMap<String,Double>	getLOGITProbabilityMap(LinkedHashMap<String,Double> resultMap)
static LinkedHashMap<String,Double>	getNONEBinaryProbabilityMap(LinkedHashMap<String,Double> resultMap)
static LinkedHashMap<String,Double>	getNONEProbabilityMap(LinkedHashMap<String,Double> resultMap)
org.kie.pmml.api.enums.OP_TYPE	getOpType()
static LinkedHashMap<String,Double>	getProbabilityMap(LinkedHashMap<String,Double> resultMap, DoubleUnaryOperator firstItemOperator, DoubleUnaryOperator secondItemOperator)
static LinkedHashMap<String,Double>	getPROBITProbabilityMap(LinkedHashMap<String,Double> resultMap)
REGRESSION_NORMALIZATION_METHOD	getRegressionNormalizationMethod()
static LinkedHashMap<String,Double>	getSIMPLEMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)
static LinkedHashMap<String,Double>	getSOFTMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)
boolean	isBinary()	A Classification is considered binary if it is of CATEGORICAL type and contains exactly two Regression tables

Methods inherited from class org.kie.pmml.models.regression.model.AbstractKiePMMLTable

evaluateCategoricalPredictor, evaluateNumericWithExponent, evaluateNumericWithoutExponent, getCategoricalFunctionMap, getIntercept, getNumericFunctionMap, getPredictorTermsFunctionMap, getTargetCategory, getTargetField, updateCAUCHITResult, updateCLOGLOGResult, updateEXPResult, updateLOGITResult, updateNONEResult, updatePROBITResult, updateSOFTMAXResult

Methods inherited from class org.kie.pmml.commons.model.abstracts.AbstractKiePMMLComponent

getExtensions, getId, getName, getParentId, setParentId

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

builder

public static KiePMMLClassificationTable.Builder builder(String name,
                                                         List<org.kie.pmml.commons.model.KiePMMLExtension> extensions)

evaluateRegression

public Object evaluateRegression(Map<String,Object> input,
                                 org.kie.pmml.api.runtime.PMMLContext context)

Overrides:

evaluateRegression in class AbstractKiePMMLTable

isBinary

public boolean isBinary()

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

Returns:

getRegressionNormalizationMethod

public REGRESSION_NORMALIZATION_METHOD getRegressionNormalizationMethod()

getOpType

public org.kie.pmml.api.enums.OP_TYPE getOpType()

getCategoryTableMap

public Map<String,KiePMMLRegressionTable> getCategoryTableMap()

getProbabilityMap

public static LinkedHashMap<String,Double> getProbabilityMap(LinkedHashMap<String,Double> resultMap,
                                                                   DoubleUnaryOperator firstItemOperator,
                                                                   DoubleUnaryOperator secondItemOperator)

getSOFTMAXProbabilityMap

public static LinkedHashMap<String,Double> getSOFTMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)

getSIMPLEMAXProbabilityMap

public static LinkedHashMap<String,Double> getSIMPLEMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)

getNONEProbabilityMap

public static LinkedHashMap<String,Double> getNONEProbabilityMap(LinkedHashMap<String,Double> resultMap)

getNONEBinaryProbabilityMap

public static LinkedHashMap<String,Double> getNONEBinaryProbabilityMap(LinkedHashMap<String,Double> resultMap)

getLOGITProbabilityMap

public static LinkedHashMap<String,Double> getLOGITProbabilityMap(LinkedHashMap<String,Double> resultMap)

getPROBITProbabilityMap

public static LinkedHashMap<String,Double> getPROBITProbabilityMap(LinkedHashMap<String,Double> resultMap)

getCLOGLOGProbabilityMap

public static LinkedHashMap<String,Double> getCLOGLOGProbabilityMap(LinkedHashMap<String,Double> resultMap)

getCAUCHITProbabilityMap

public static LinkedHashMap<String,Double> getCAUCHITProbabilityMap(LinkedHashMap<String,Double> resultMap)