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

Class KiePMMLRegressionClassificationTable

java.lang.Object

org.kie.pmml.models.regression.model.KiePMMLRegressionTable

org.kie.pmml.models.regression.model.KiePMMLRegressionClassificationTable

All Implemented Interfaces:

Serializable

public abstract class KiePMMLRegressionClassificationTable
extends KiePMMLRegressionTable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field	Description
protected Map<String,KiePMMLRegressionTable>	categoryTableMap
protected boolean	isBinary
protected org.kie.pmml.api.enums.OP_TYPE	opType
protected org.kie.pmml.api.iinterfaces.SerializableFunction<LinkedHashMap<String,Double>,LinkedHashMap<String,Double>>	probabilityMapFunction
protected REGRESSION_NORMALIZATION_METHOD	regressionNormalizationMethod

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

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

Constructor Summary

Constructors

Constructor	Description
KiePMMLRegressionClassificationTable()

Method Summary

Modifier and Type	Method	Description
Object	evaluateRegression(Map<String,Object> input, org.kie.pmml.api.runtime.PMMLContext context)
Map<String,KiePMMLRegressionTable>	getCategoryTableMap()
protected LinkedHashMap<String,Double>	getCAUCHITProbabilityMap(LinkedHashMap<String,Double> resultMap)
protected LinkedHashMap<String,Double>	getCLOGLOGProbabilityMap(LinkedHashMap<String,Double> resultMap)
protected LinkedHashMap<String,Double>	getLOGITProbabilityMap(LinkedHashMap<String,Double> resultMap)
protected LinkedHashMap<String,Double>	getNONEBinaryProbabilityMap(LinkedHashMap<String,Double> resultMap)
protected LinkedHashMap<String,Double>	getNONEProbabilityMap(LinkedHashMap<String,Double> resultMap)
org.kie.pmml.api.enums.OP_TYPE	getOpType()
protected LinkedHashMap<String,Double>	getProbabilityMap(LinkedHashMap<String,Double> resultMap, DoubleUnaryOperator firstItemOperator, DoubleUnaryOperator secondItemOperator)
protected LinkedHashMap<String,Double>	getPROBITProbabilityMap(LinkedHashMap<String,Double> resultMap)
REGRESSION_NORMALIZATION_METHOD	getRegressionNormalizationMethod()
protected LinkedHashMap<String,Double>	getSIMPLEMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)
protected 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.KiePMMLRegressionTable

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

Methods inherited from class java.lang.Object

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

Field Detail

regressionNormalizationMethod

protected REGRESSION_NORMALIZATION_METHOD regressionNormalizationMethod

opType

protected org.kie.pmml.api.enums.OP_TYPE opType

categoryTableMap

protected Map<String,KiePMMLRegressionTable> categoryTableMap

probabilityMapFunction

protected org.kie.pmml.api.iinterfaces.SerializableFunction<LinkedHashMap<String,Double>,LinkedHashMap<String,Double>> probabilityMapFunction

isBinary

protected boolean isBinary

Constructor Detail

KiePMMLRegressionClassificationTable

public KiePMMLRegressionClassificationTable()

Method Detail

evaluateRegression

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

Overrides:

evaluateRegression in class KiePMMLRegressionTable

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

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

getSOFTMAXProbabilityMap

protected LinkedHashMap<String,Double> getSOFTMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)

getSIMPLEMAXProbabilityMap

protected LinkedHashMap<String,Double> getSIMPLEMAXProbabilityMap(LinkedHashMap<String,Double> resultMap)

getNONEProbabilityMap

protected LinkedHashMap<String,Double> getNONEProbabilityMap(LinkedHashMap<String,Double> resultMap)

getNONEBinaryProbabilityMap

protected LinkedHashMap<String,Double> getNONEBinaryProbabilityMap(LinkedHashMap<String,Double> resultMap)

getLOGITProbabilityMap

protected LinkedHashMap<String,Double> getLOGITProbabilityMap(LinkedHashMap<String,Double> resultMap)

getPROBITProbabilityMap

protected LinkedHashMap<String,Double> getPROBITProbabilityMap(LinkedHashMap<String,Double> resultMap)

getCLOGLOGProbabilityMap

protected LinkedHashMap<String,Double> getCLOGLOGProbabilityMap(LinkedHashMap<String,Double> resultMap)

getCAUCHITProbabilityMap

protected LinkedHashMap<String,Double> getCAUCHITProbabilityMap(LinkedHashMap<String,Double> resultMap)