org.kie.pmml.models.regression.model

Class KiePMMLRegressionTable

java.lang.Object

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

All Implemented Interfaces:

Serializable

Direct Known Subclasses:

KiePMMLRegressionClassificationTable

public abstract class KiePMMLRegressionTable
extends Object
implements Serializable

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
protected Map<String,SerializableFunction<Object,Double>>	categoricalFunctionMap
protected double	intercept
protected Map<String,SerializableFunction<Double,Double>>	numericFunctionMap
protected Map<String,Object>	outputFieldsMap
protected Map<String,SerializableFunction<Map<String,Object>,Double>>	predictorTermsFunctionMap
protected String	targetField

Constructor Summary

Constructors

Constructor and Description
KiePMMLRegressionTable()

Method Summary

Modifier and Type	Method and Description
Object	evaluateRegression(Map<String,Object> input)
Map<String,SerializableFunction<Object,Double>>	getCategoricalFunctionMap()
double	getIntercept()
Map<String,SerializableFunction<Double,Double>>	getNumericFunctionMap()
Map<String,Object>	getOutputFieldsMap()
Map<String,SerializableFunction<Map<String,Object>,Double>>	getPredictorTermsFunctionMap()
abstract Object	getTargetCategory()
String	getTargetField()
protected abstract void	populateOutputFieldsMapWithResult(Object result)
protected abstract void	updateResult(AtomicReference<Double> toUpdate)

Methods inherited from class java.lang.Object

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

Field Detail

numericFunctionMap

protected Map<String,SerializableFunction<Double,Double>> numericFunctionMap

categoricalFunctionMap

protected Map<String,SerializableFunction<Object,Double>> categoricalFunctionMap

outputFieldsMap

protected Map<String,Object> outputFieldsMap

predictorTermsFunctionMap

protected Map<String,SerializableFunction<Map<String,Object>,Double>> predictorTermsFunctionMap

intercept

protected double intercept

targetField

protected String targetField

Constructor Detail

KiePMMLRegressionTable

public KiePMMLRegressionTable()

Method Detail

getTargetCategory

public abstract Object getTargetCategory()

evaluateRegression

public Object evaluateRegression(Map<String,Object> input)

getOutputFieldsMap

public Map<String,Object> getOutputFieldsMap()

getTargetField

public String getTargetField()

getNumericFunctionMap

public Map<String,SerializableFunction<Double,Double>> getNumericFunctionMap()

getCategoricalFunctionMap

public Map<String,SerializableFunction<Object,Double>> getCategoricalFunctionMap()

getPredictorTermsFunctionMap

public Map<String,SerializableFunction<Map<String,Object>,Double>> getPredictorTermsFunctionMap()

getIntercept

public double getIntercept()

updateResult

protected abstract void updateResult(AtomicReference<Double> toUpdate)

populateOutputFieldsMapWithResult

protected abstract void populateOutputFieldsMapWithResult(Object result)