org.processmining.operationalsupport.messages.reply

Class SeededNumericalPrediction<T extends java.lang.Number>

java.lang.Object

org.processmining.operationalsupport.messages.reply.Prediction<T>

org.processmining.operationalsupport.messages.reply.ContinuousPrediction<T>

org.processmining.operationalsupport.messages.reply.NumericalPrediction<T>

org.processmining.operationalsupport.messages.reply.SeededNumericalPrediction<T>

Type Parameters:

T -

Direct Known Subclasses:

NaiveDiscreteNumericalPrediction

public abstract class SeededNumericalPrediction<T extends java.lang.Number>
extends NumericalPrediction<T>

Author:

michael

Nested Class Summary

Nested classes/interfaces inherited from class org.processmining.operationalsupport.messages.reply.ContinuousPrediction

ContinuousPrediction.Distribution

Constructor Summary

Constructors

Constructor and Description
SeededNumericalPrediction()

Method Summary

Modifier and Type	Method and Description
abstract void	addEntry(T value, double probability)

Methods inherited from class org.processmining.operationalsupport.messages.reply.NumericalPrediction

getAverage, getConfidence90, getConfidence95, getConfidence99, setAverage, setConfidence90, setConfidence95, setConfidence99, toString

Methods inherited from class org.processmining.operationalsupport.messages.reply.ContinuousPrediction

getDistribution, getMaximum, getMedian, getMinimum, setDistribution, setMaximum, setMedian, setMinimum

Methods inherited from class org.processmining.operationalsupport.messages.reply.Prediction

getExampleTrace, getJComponent, getPredictedValue, getTableCellRenderer, getToolTip, printPercentage, roundToSignificantFigures, setExampleTrace, setPredictedValue

Methods inherited from class java.lang.Object

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

Constructor Detail

SeededNumericalPrediction

public SeededNumericalPrediction()

Method Detail

addEntry

public abstract void addEntry(T value,
                              double probability)

Parameters:

value -

probability -