Package org.processmining.plugins.stochasticpetrinet.prediction

Class TimePredictor

java.lang.Object

org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

org.processmining.plugins.stochasticpetrinet.prediction.TimePredictor

public class TimePredictor
extends AbstractTimePredictor

Field Summary

Fields inherited from class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

ABS_ERROR_THRESHOLD, CONFIDENCE_INTERVAL, ERROR_BOUND_PERCENT, MAX_RUNS

Constructor Summary

Constructors

Constructor	Description
TimePredictor(boolean useTimeConstraint)	Creates a stochastic Net predictor based on simulation that uses either the time as a constraint, or not.

Method Summary

Modifier and Type	Method	Description
org.apache.commons.math3.stat.descriptive.DescriptiveStatistics	getPredictionStats(StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime, boolean useOnlyPastTrainingData, org.processmining.models.semantics.Semantics<org.processmining.models.semantics.petrinet.Marking,org.processmining.models.graphbased.directed.petrinet.elements.Transition> semantics)	Computes some stats by running a Monte Carlo simulation of the process.

Methods inherited from class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

addAllEnabledTransitions, computeRiskToMissTargetTime, executeTransition, getConfidenceIntervalWidth, getCurrentState, getCurrentStateWithAlignment, getError, getErrorPercent, getSemantics, predict, predict, predict

Methods inherited from class java.lang.Object

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

Constructor Detail

TimePredictor

public TimePredictor(boolean useTimeConstraint)

Creates a stochastic Net predictor based on simulation that uses either the time as a constraint, or not.

Parameters:

useTimeConstraint - indicator, whether to use the elapsed time as a constraint for the simulation

Method Detail

getPredictionStats

public org.apache.commons.math3.stat.descriptive.DescriptiveStatistics getPredictionStats(StochasticNet model,
                                                                                          org.deckfour.xes.model.XTrace observedEvents,
                                                                                          java.util.Date currentTime,
                                                                                          boolean useOnlyPastTrainingData,
                                                                                          org.processmining.models.semantics.Semantics<org.processmining.models.semantics.petrinet.Marking,org.processmining.models.graphbased.directed.petrinet.elements.Transition> semantics)

Description copied from class: AbstractTimePredictor

Computes some stats by running a Monte Carlo simulation of the process.

Specified by:

getPredictionStats in class AbstractTimePredictor

Parameters:

model - the model that is enriched by some training data

observedEvents - the current history of the trace (observed events so far)

currentTime - the current time at prediction

useOnlyPastTrainingData - indicator that tells us whether to only rely on training data that was observed in the past (relative to the currentTime)

semantics - the semantics with the current marking of the model that shows the starting point

Returns:

DescriptiveStatistics gathered from a set of simulated continuations of the current process