Uses of Interface
org.processmining.models.graphbased.directed.petrinet.StochasticNet

Packages that use StochasticNet

Package	Description
org.processmining.models.graphbased.directed.petrinet.impl
org.processmining.plugins.alignment
org.processmining.plugins.pnml.exporting
org.processmining.plugins.stochasticpetrinet	Stochastic Petri net package for importing / exporting stochastic Petri nets.
org.processmining.plugins.stochasticpetrinet.analyzer
org.processmining.plugins.stochasticpetrinet.analyzer.anomaly
org.processmining.plugins.stochasticpetrinet.converter
org.processmining.plugins.stochasticpetrinet.enricher.experiment
org.processmining.plugins.stochasticpetrinet.external
org.processmining.plugins.stochasticpetrinet.prediction
org.processmining.plugins.stochasticpetrinet.prediction.experiment
org.processmining.plugins.stochasticpetrinet.prediction.timeseries
org.processmining.plugins.stochasticpetrinet.simulator
org.processmining.plugins.stochasticpetrinet.ui

Uses of StochasticNet in org.processmining.models.graphbased.directed.petrinet.impl

Classes in org.processmining.models.graphbased.directed.petrinet.impl that implement StochasticNet

Modifier and Type	Class	Description
class	StochasticNetImpl

Methods in org.processmining.models.graphbased.directed.petrinet.impl with parameters of type StochasticNet

Modifier and Type	Method	Description
static java.lang.Object[]	ToStochasticNet.asPetriNet(org.processmining.framework.plugin.PluginContext context, StochasticNet net, org.processmining.models.semantics.petrinet.Marking marking)
static java.lang.Object[]	ToStochasticNet.convertStochasticNetToType(org.processmining.framework.plugin.PluginContext context, StochasticNet net, org.processmining.models.semantics.petrinet.Marking marking, StochasticNet.DistributionType type)	Converts all timed transitions (except immediate and deterministic transitions) to the specified type in the net.
static java.lang.Object[]	ToStochasticNet.fromStochasticNet(org.processmining.framework.plugin.PluginContext context, StochasticNet net, org.processmining.models.semantics.petrinet.Marking marking)

Uses of StochasticNet in org.processmining.plugins.alignment

Methods in org.processmining.plugins.alignment with parameters of type StochasticNet

Modifier and Type	Method	Description
CaseTimeSeries	TimeSeriesAlignmentPlugin.transform(org.processmining.contexts.uitopia.UIPluginContext context, org.deckfour.xes.model.XLog log, StochasticNet net)

Uses of StochasticNet in org.processmining.plugins.pnml.exporting

Methods in org.processmining.plugins.pnml.exporting with parameters of type StochasticNet

Modifier and Type	Method	Description
PNMLRoot	StochasticNetToPNMLConverter.convertNet(StochasticNet net, org.processmining.models.semantics.petrinet.Marking initialMarking, org.processmining.models.connections.GraphLayoutConnection layout)
void	PnmlExportStochasticNet.exportPetriNetToPNMLFile(org.processmining.framework.plugin.PluginContext context, StochasticNet net, java.io.File file)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet

Methods in org.processmining.plugins.stochasticpetrinet that return StochasticNet

Modifier and Type	Method	Description
static StochasticNet	StochasticNetUtils.convertToGSPN(StochasticNet spn)
static StochasticNet	StochasticNetUtils.convertToNormal(StochasticNet spn)

Methods in org.processmining.plugins.stochasticpetrinet with parameters of type StochasticNet

Modifier and Type	Method	Description
static StochasticNet	StochasticNetUtils.convertToGSPN(StochasticNet spn)
static StochasticNet	StochasticNetUtils.convertToNormal(StochasticNet spn)
static double	StochasticNetUtils.getMeanDuration(StochasticNet net, org.processmining.models.semantics.petrinet.Marking initialMarking)	Gets the mean duration of the model by a simple simulation.
static double	StochasticNetUtils.getUpperBoundDuration(StochasticNet net, org.processmining.models.semantics.petrinet.Marking initialMarking)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.analyzer

Methods in org.processmining.plugins.stochasticpetrinet.analyzer that return StochasticNet

Modifier and Type	Method	Description
StochasticNet	CaseStatisticsAnalyzer.getStochasticNet()

Methods in org.processmining.plugins.stochasticpetrinet.analyzer with parameters of type StochasticNet

Modifier and Type	Method	Description
static double	LikelihoodAnalyzer.getLogLikelihood(org.processmining.framework.plugin.PluginContext context, org.deckfour.xes.model.XLog log, StochasticNet net, int traceIndex)	Computes the log likelihood of a trace given a net.
static CaseStatisticsList	LikelihoodAnalyzer.getLogLikelihoods(org.processmining.framework.plugin.PluginContext context, org.deckfour.xes.model.XLog log, StochasticNet net)	Computes the log likelihood of a trace given a net.
CaseStatisticsList	LikelihoodAnalyzerPlugin.transform(org.processmining.contexts.uitopia.UIPluginContext context, org.deckfour.xes.model.XLog log, StochasticNet net)

Constructors in org.processmining.plugins.stochasticpetrinet.analyzer with parameters of type StochasticNet

Constructor	Description
CaseStatisticsAnalyzer(StochasticNet stochasticNet, org.processmining.models.semantics.petrinet.Marking initialMarking, CaseStatisticsList statistics)
CaseStatisticsConnection(StochasticNet net, org.deckfour.xes.model.XLog log, CaseStatisticsList caseStatistics)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

Methods in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly with parameters of type StochasticNet

Modifier and Type	Method	Description
AnomalyIntervals	AnomalousIntervalsComputerPlugin.computeAnomalyIntervals(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet net)
java.util.Map<org.processmining.models.graphbased.directed.petrinet.elements.Transition,java.util.List<org.processmining.framework.util.Pair<java.lang.Double,java.lang.Double>>>	AnomalousIntervalsComputer.getAnomalousIntervals(org.processmining.framework.plugin.PluginContext context, StochasticNet net, double outlierRate)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.converter

Methods in org.processmining.plugins.stochasticpetrinet.converter with parameters of type StochasticNet

Modifier and Type	Method	Description
static java.lang.Object[]	ConvertDistributionsPlugin.convertStochasticNet(org.processmining.framework.plugin.PluginContext context, StochasticNet net)
static java.lang.Object[]	ConvertDistributionsPlugin.stripStochasticInformation(org.processmining.framework.plugin.PluginContext context, StochasticNet net)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.enricher.experiment

Methods in org.processmining.plugins.stochasticpetrinet.enricher.experiment with parameters of type StochasticNet

Modifier and Type	Method	Description
ModelComparisonResult	PerformanceEnricherExperimentResult.getComparisonResult(StochasticNet net, StochasticNet learnedNet, PerformanceEnricher enricher)
PerformanceEnricherExperimentResult	PerformanceEnricherExperimentPlugin.performExperiment(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet net, org.processmining.models.semantics.petrinet.Marking initialMarking, PerformanceEnricherExperimentPlugin.ExperimentType type)	We first simulate the net a number of times with a combination of given trace-sizes and policies, and then enrich the base Petri net to be stochastic again.
PerformanceEnricherExperimentResult	PerformanceEnricherExperimentPlugin.plugin(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet net)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.external

Methods in org.processmining.plugins.stochasticpetrinet.external with parameters of type StochasticNet

Modifier and Type	Method	Description
static java.lang.Object[]	AllocationBasedNetGenerator.generateNet(StochasticNet base, PetrinetModelAllocations allocations, java.util.Set<Allocatable> resources, int numCases, double meanTimeBetweenArrivals, double noise, long startTime)	Generates a net based on a basis and a number of cases that are drawn randomly from the model.
static java.lang.Object[]	AllocationBasedNetGenerator.generateObservationAwareNet(StochasticNet base, PetrinetModelAllocations allocations, java.util.Set<Allocatable> resources, double noise)	TOSO: Currently we neglect resources!

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.prediction

Methods in org.processmining.plugins.stochasticpetrinet.prediction with parameters of type StochasticNet

Modifier and Type	Method	Description
java.lang.Double	TimePredictorPlugin.computeRisk(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime, java.util.Date targetTime)
java.lang.Double	AbstractTimePredictor.computeRiskToMissTargetTime(StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime, java.util.Date targetTime, org.processmining.models.semantics.petrinet.Marking initialMarking, boolean useOnlyPastTrainingData)	Maximum likelihood estimate for the risk of missing a deadline until the end of the process.
static org.processmining.models.semantics.Semantics<org.processmining.models.semantics.petrinet.Marking,org.processmining.models.graphbased.directed.petrinet.elements.Transition>	AbstractTimePredictor.getCurrentState(StochasticNet model, org.processmining.models.semantics.petrinet.Marking initialMarking, org.deckfour.xes.model.XTrace observedEvents)	TODO: Maybe switch to alignment approach
static org.processmining.models.semantics.Semantics<org.processmining.models.semantics.petrinet.Marking,org.processmining.models.graphbased.directed.petrinet.elements.Transition>	AbstractTimePredictor.getCurrentStateWithAlignment(StochasticNet model, org.processmining.models.semantics.petrinet.Marking initialMarking, org.deckfour.xes.model.XTrace observedEvents)
protected abstract org.apache.commons.math3.stat.descriptive.DescriptiveStatistics	AbstractTimePredictor.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.
org.apache.commons.math3.stat.descriptive.DescriptiveStatistics	TimePredictor.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)
org.processmining.models.semantics.Semantics<org.processmining.models.semantics.petrinet.Marking,org.processmining.models.graphbased.directed.petrinet.elements.Transition>	AbstractTimePredictor.getSemantics(StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, org.processmining.models.semantics.petrinet.Marking initialMarking)
org.processmining.framework.util.Pair<java.lang.Double,java.lang.Double>	AbstractTimePredictor.predict(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)
org.processmining.framework.util.Pair<java.lang.Double,java.lang.Double>	AbstractTimePredictor.predict(StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime, org.processmining.models.semantics.petrinet.Marking initialMarking)
org.processmining.framework.util.Pair<java.lang.Double,java.lang.Double>	AbstractTimePredictor.predict(StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime, org.processmining.models.semantics.petrinet.Marking initialMarking, boolean useOnlyPastTrainingData)	Does not care about final markings -> simulates net until no transitions are enabled any more...
java.lang.Double	TimePredictorPlugin.predict(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet model, org.deckfour.xes.model.XTrace observedEvents, java.util.Date currentTime)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.prediction.experiment

Methods in org.processmining.plugins.stochasticpetrinet.prediction.experiment with parameters of type StochasticNet

Modifier and Type	Method	Description
long	PredictionExperimentPlugin.getProcessMeanDuration(StochasticNet model, org.deckfour.xes.model.XLog log, org.processmining.models.semantics.petrinet.Marking initialMarking, PredictionExperimentConfig config)
PredictionExperimentResult	PredictionExperimentPlugin.predict(org.processmining.contexts.uitopia.UIPluginContext context, StochasticNet model)
PredictionExperimentResult	PredictionExperimentPlugin.predict(org.processmining.framework.plugin.PluginContext context, StochasticNet model, StochasticNet gspnModel, org.processmining.plugins.tsanalyzer.annotation.time.TimeTransitionSystemAnnotation[] transitionSystemAnnotations, org.deckfour.xes.model.XLog log, PredictionExperimentConfig config, double meanDuration)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

Methods in org.processmining.plugins.stochasticpetrinet.prediction.timeseries with parameters of type StochasticNet

Modifier and Type	Method	Description
protected org.apache.commons.math3.stat.descriptive.DescriptiveStatistics	TimeseriesPredictor.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)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.simulator

Methods in org.processmining.plugins.stochasticpetrinet.simulator with parameters of type StochasticNet

Modifier and Type	Method	Description
org.deckfour.xes.model.XLog	LogLocationDelayInducer.induceLocationDelay(org.deckfour.xes.model.XLog log, WorldConfiguration wc, StochasticNet net)
void	AdvancedSimulator.simulateRealEntities(StochasticNet model, WorldConfiguration wc)	Simulates real entities performing a process.

Constructors in org.processmining.plugins.stochasticpetrinet.simulator with parameters of type StochasticNet

Constructor	Description
PNSimulatorConfig(long numberOfTraces, StochasticNet net)

Uses of StochasticNet in org.processmining.plugins.stochasticpetrinet.ui

Methods in org.processmining.plugins.stochasticpetrinet.ui with parameters of type StochasticNet

Modifier and Type	Method	Description
javax.swing.JComponent	PerformanceVisualization.visualize(org.processmining.framework.plugin.PluginContext context, StochasticNet sNet)