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A

ABS_ERROR_THRESHOLD - Static variable in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

AbstractAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

AbstractAllocation(Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AbstractAllocation

AbstractEntropyCalculator - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

AbstractEntropyCalculator() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

abstractFrom(int[]) - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractionLevel

abstractFrom(int[]) - Method in class org.processmining.plugins.stochasticpetrinet.measures.ListAbstractionLevel

abstractFrom(int[]) - Method in class org.processmining.plugins.stochasticpetrinet.measures.MultiSetAbstractionLevel

abstractFrom(int[]) - Method in class org.processmining.plugins.stochasticpetrinet.measures.SetAbstractionLevel

AbstractionLevel - Class in org.processmining.plugins.stochasticpetrinet.measures

AbstractionLevel() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.AbstractionLevel

AbstractMeasure<T extends java.lang.Number> - Class in org.processmining.plugins.stochasticpetrinet.measures

AbstractMeasure() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.AbstractMeasure

AbstractMiner - Class in org.processmining.plugins.overfit

Created by andreas on 9/15/16.

AbstractMiner() - Constructor for class org.processmining.plugins.overfit.AbstractMiner

AbstractPNMLElement - Class in org.processmining.plugins.pnml.simple

AbstractPNMLElement() - Constructor for class org.processmining.plugins.pnml.simple.AbstractPNMLElement

AbstractTimePredictor - Class in org.processmining.plugins.stochasticpetrinet.prediction

AbstractTimePredictor() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

AccurateNoiseFilter - Class in org.processmining.plugins.filter.noise

This noise filter adds noise to an event log by randomly removing events and adding events.

AccurateNoiseFilter(double) - Constructor for class org.processmining.plugins.filter.noise.AccurateNoiseFilter

AccurateNoiseFilter(double, double, long) - Constructor for class org.processmining.plugins.filter.noise.AccurateNoiseFilter

actionPerformed(ActionEvent) - Method in class org.processmining.plugins.stochasticpetrinet.ui.OutlierVisualizer

actionPerformed(ActionEvent) - Method in class org.processmining.plugins.temporal.ui.VisualControls

activity - Variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

Activity - Class in org.processmining.plugins.stochasticpetrinet.external.interaction

Activity(XEvent, XEvent, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

add(int, StochasticNet.ExecutionPolicy, ModelComparisonResult) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentResult

add(TimeSeriesBit) - Method in class org.processmining.plugins.alignment.model.CaseTimeSeries

add(E) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeSet

add(E) - Method in class org.utils.datastructures.LimitedTreeSet

add(K) - Method in class org.utils.datastructures.LimitedQueue

add(RealDistribution) - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

ADD_EVENTS - org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseTypes

addAll(int, Collection<? extends K>) - Method in class org.utils.datastructures.LimitedQueue

addAll(Collection<? extends E>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeSet

addAll(Collection<? extends E>) - Method in class org.utils.datastructures.LimitedTreeSet

addAll(Collection<? extends K>) - Method in class org.utils.datastructures.LimitedQueue

addAllDifferentTracesToLog(XLog, PetrinetGraph, LinkedList<VisitState>, Semantics<Marking, Transition>, Map<String, Set<Integer>>, PNSimulatorConfig, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

addAllEnabledTransitions(Semantics<Marking, Transition>, ArrayList<Pair<Marking, Transition>>) - Static method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

addAllocation(Transition, Allocation) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

addAllocationOption(Set<Allocatable>, double) - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

addCanPerform(Role) - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

addConnection(T) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

addConnection(T) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

addConnection(T) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

addImmediateTransition(String) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addImmediateTransition(String) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addImmediateTransition(String, double) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addImmediateTransition(String, double) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addImmediateTransition(String, double, int, String) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addImmediateTransition(String, double, int, String) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addNumberOfInstancesInSystemToLog(UIPluginContext, XLog) - Method in class org.processmining.plugins.filter.context.LoadAnnotationPlugin

Count the number of active cases in the process and add the count to each instance

addNumberOfInstancesInSystemToLogHeadless(PluginContext, XLog) - Method in class org.processmining.plugins.filter.context.LoadAnnotationPlugin

addObservation(Observation<H>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

addOneEntry(BitSet, long) - Method in class org.processmining.plugins.temporal.miner.TemporalTraces

addPersonToRole(Person) - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

addPlot(Plot) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

addPointOfInterest(String, Double, Color, Float) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

addPointOfInterest(PlotPanelFreeChart.PointOfInterest) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

addReplayStep(ReplayStep) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

addRole(Role) - Method in class org.processmining.plugins.stochasticpetrinet.external.Resource

addSample(double, int) - Method in class org.processmining.plugins.temporal.model.TemporalConnection

addTimedTransition(String, double, StochasticNet.DistributionType, double...) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addTimedTransition(String, double, StochasticNet.DistributionType, double...) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addTimedTransition(String, double, StochasticNet.DistributionType, String, double...) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addTimedTransition(String, double, StochasticNet.DistributionType, String, double...) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addTimedTransition(String, StochasticNet.DistributionType, double...) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

addTimedTransition(String, StochasticNet.DistributionType, double...) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

addTrainingDataLine(String, int, String) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

addValue(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

addValue(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

addValue(double, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

addValue(double, double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

addValues(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

addValues(double...) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

addValues(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

adjustTimeStampOfNewEvent(Random, XTimeExtension, Pair<Long, Long>, XEvent) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

AdvancedSimulator - Class in org.processmining.plugins.stochasticpetrinet.simulator

Event based simulator.

AdvancedSimulator() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.AdvancedSimulator

ageVariables - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

Stores the age of a transition in model time units since the last sampling period

Aggregate - Class in org.utils.datastructures

Aggregate() - Constructor for class org.utils.datastructures.Aggregate

Aggregate.Function<T,R> - Interface in org.utils.datastructures

Allocatable - Interface in org.processmining.plugins.stochasticpetrinet.external

Allocation - Interface in org.processmining.plugins.stochasticpetrinet.external

Allocation.AllocType - Enum in org.processmining.plugins.stochasticpetrinet.external

AllocationBasedNetGenerator - Class in org.processmining.plugins.stochasticpetrinet.external

AllocationBasedNetGenerator() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

AllocationBasedNetGenerator.ObsType - Enum in org.processmining.plugins.stochasticpetrinet.external

AllocationConfig - Class in org.processmining.plugins.stochasticpetrinet.external

AllocationConfig(Set<Allocatable>, int, double, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

AllocationConfig(Set<Allocatable>, int, double, Allocation.AllocType, StochasticNet.DistributionType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

AllocationConfig(Set<Allocatable>, Set<Allocatable>, int, int, double, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

AllocationConfig(Set<Allocatable>, Set<Allocatable>, int, int, double, Allocation.AllocType, StochasticNet.DistributionType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

Configure a cross product of two sets

AllocationDistribution - Class in org.processmining.plugins.stochasticpetrinet.external

A distribution of possible allocation options for some activity/task in a process.

AllocationDistribution(Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

AnomalousIntervalsComputer - Class in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

AnomalousIntervalsComputer() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputer

AnomalousIntervalsComputerPlugin - Class in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

AnomalousIntervalsComputerPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputerPlugin

ANOMALY - Static variable in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

AnomalyIntervals - Class in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

Simple container class to store temporal anomaly regions (intervals), which correspond to duration outliers of transitions in a StochasticNet

AnomalyIntervals(Map<Transition, List<Pair<Double, Double>>>, String, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

AnotherAbstractRealDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

AnotherAbstractRealDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

apply(T) - Method in interface org.utils.datastructures.Aggregate.Function

ApproximateDensityDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

ApproximateDensityDistribution(double[], double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

ApproximateDensityDistribution(double[], double, double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

ApproximateDensityDistribution(RealDistribution, boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

ApproximateDensityDistribution(RealDistribution, int, double, boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

Approximates a distribution with a density piecewise line through some sample density points

ARMA_SERIES - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

ARMATimeSeries - Class in org.processmining.plugins.stochasticpetrinet.distribution.timeseries

ARMATimeSeries(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

ARMATimeSeries(int, int, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

arrivalDistribution - Static variable in class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

arrivalDistribution - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

ARRIVING - Static variable in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

arWeights - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

asPetriNet(PluginContext, StochasticNet, Marking) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

AUTO_ARIMA - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

AUTO_ARIMA_SCRIPT - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

AutoArimaTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

AutoArimaTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AutoArimaTimeSeries

AVERAGE_METHOD - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

AverageMethodTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

The simplest form of model to fit to a data set is the average.

AverageMethodTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AverageMethodTimeSeries

avg(Collection<V>, Aggregate.Function<V, K>, Aggregate.Function<V, Double>) - Static method in class org.utils.datastructures.Aggregate

B

BellmanFordDistance<V,E> - Class in org.utils.datastructures.graph

Simple implementation of the Bellman Ford distance computation.

BellmanFordDistance(Graph<V, E>, Transformer<E, ? extends Number>) - Constructor for class org.utils.datastructures.graph.BellmanFordDistance

BERNSTEIN_EXPOLYNOMIAL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

BernsteinExponentialApproximation - Class in org.processmining.plugins.stochasticpetrinet.distribution

Implementation of the expolynomial distribution class presented in:

BernsteinExponentialApproximation(double[], Double, Double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

Constructs a Bernstein Exponential with a given number of sampling points

BernsteinExponentialApproximation(UnivariateFunction, Double, Double, int, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

BernsteinExponentialApproximation(RealDistribution, Double, Double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

BernsteinExponentialApproximation(RealDistribution, Double, Double, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

BernsteinExponentialApproximation(RealDistribution, Double, Double, int, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

bestDistance - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

bestLog - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

bestModel - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

BETA - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

Building - Class in org.processmining.plugins.stochasticpetrinet.external

Building(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Building

C

CACHE_SIZES - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

cachedDurations - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

maps from the prediction time point (long since start of epoch) to a cache storing the predictions for each transition

cachedMean - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

cachedVariance - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

cacheFinalMarking(PetrinetGraph, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

cacheInitialMarking(PetrinetGraph, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

capacity - Variable in class org.processmining.plugins.stochasticpetrinet.external.Location

capacity - Variable in class org.processmining.plugins.stochasticpetrinet.external.Person

CASE_PREFIX - Static variable in class org.processmining.plugins.stochasticpetrinet.external.Person

CASE_STATISTICS - Static variable in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsConnection

CaseStatistics - Class in org.processmining.plugins.stochasticpetrinet.analyzer

Case statistics for an individual case in a log.

CaseStatistics(long) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

CaseStatisticsAnalyzer - Class in org.processmining.plugins.stochasticpetrinet.analyzer

Provides statistical analysis for outliers using non-parametric density estimations with foundations in:

CaseStatisticsAnalyzer() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

CaseStatisticsAnalyzer(StochasticNet, Marking, CaseStatisticsList) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

CaseStatisticsConnection - Class in org.processmining.plugins.stochasticpetrinet.analyzer

CaseStatisticsConnection(StochasticNet, XLog, CaseStatisticsList) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsConnection

CaseStatisticsList - Class in org.processmining.plugins.stochasticpetrinet.analyzer

CaseStatisticsList() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsList

CaseTimeSeries - Class in org.processmining.plugins.alignment.model

CaseTimeSeries() - Constructor for class org.processmining.plugins.alignment.model.CaseTimeSeries

CATEGORICAL_SCRIPT - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

censoredTimes - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

stores all censored sample times, where the transition could not use it's sampled duration, because it lost against another.

childLocations - Variable in class org.processmining.plugins.stochasticpetrinet.external.Location

children - Variable in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

clear() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

clear() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

clear() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

clearCache() - Method in class org.processmining.models.semantics.petrinet.impl.NormalizedMarkingCache

clearCachedMarkings() - Static method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

clearPointsOfInterest() - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

clone() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

clone() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

clone() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

clone() - Method in class org.processmining.plugins.temporal.miner.TemporalRelations

cloneFrom(AbstractResetInhibitorNet, boolean, boolean, boolean, boolean, boolean) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

Replaces Transitions by TimedTransitions

cloneFromNet(PluginContext, PetrinetGraph, Marking, AbstractResetInhibitorNet) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

cloneLog(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

collectDataFromManifest(XLog) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

color - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

Color for the point of interes

ComparablePair<K extends java.lang.Comparable<K>,V> - Class in org.utils.datastructures

ComparablePair(K, V) - Constructor for class org.utils.datastructures.ComparablePair

compare(SortedSet<E>, SortedSet<E>) - Method in class org.utils.datastructures.SortedSetComparator

compareSortedSets(SortedSet<E>, SortedSet<E>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

compareTo(Activity) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

compareTo(Interaction) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

compareTo(LocationChange) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

compareTo(Record) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

compareTo(SensorInterval) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

compareTo(AbstractionLevel) - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractionLevel

compareTo(Outcome) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.Outcome

compareTo(ComparablePair<K, V>) - Method in class org.utils.datastructures.ComparablePair

compareTo(SortedPair<K, V>) - Method in class org.utils.datastructures.SortedPair

Compartment - Class in org.processmining.plugins.stochasticpetrinet.external

Compartment(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Compartment

computeAnomalyIntervals(UIPluginContext, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputerPlugin

computeDistance(XLog, M) - Method in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

Computes the distance between a log and a model Subclasses need to implement this according to their model type.

computeDistance(XLog, PetrinetGraph) - Method in class org.processmining.plugins.stochasticpetrinet.miner.PetrinetLSMiner

ComputedMeasures - Class in org.processmining.plugins.stochasticpetrinet.measures

ComputedMeasures() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.ComputedMeasures

ComputedMeasures(List<AbstractMeasure<? extends Number>>) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.ComputedMeasures

computePValueByApproximateIntegration(RealDistribution, double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

computePValueByApproximateIntegration(ReplayStep) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

computeRisk(UIPluginContext, StochasticNet, XTrace, Date, Date) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.TimePredictorPlugin

computeRiskToMissTargetTime(StochasticNet, XTrace, Date, Date, Marking, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

Maximum likelihood estimate for the risk of missing a deadline until the end of the process.

CONCEPT_INSTANCE - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

CONCEPT_NAME - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

CONCEPT_SIMULATED - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

CONFIDENCE_INTERVAL - Static variable in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

the confidence interval to be used for estimating bounds on the predicted remaining duration

config - Variable in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorExact

config - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

ConstrainedHistogramDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

Constrains a histogram to only use the part that is consistent with the constraint.

ConstrainedHistogramDistribution(SimpleHistogramDistribution, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

constraint - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

the constraint, such that the distribution is truncated below this constraint

constructMapping() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

context - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

CONTEXT_LOAD - Static variable in class org.processmining.plugins.filter.context.LoadAnnotationPlugin

convert(UIPluginContext, XLog) - Static method in class org.processmining.plugins.alignment.TimeSeriesConverter

ConvertDistributionsPlugin - Class in org.processmining.plugins.stochasticpetrinet.converter

Converts all timed distributions of a StochasticNet to a given distribution type (except for immediate and deterministic transitions)

ConvertDistributionsPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.converter.ConvertDistributionsPlugin

convertLog(XLog, StochasticNet.TimeUnit, boolean, long) - Static method in class org.processmining.plugins.stochasticpetrinet.external.sensor.LogToSensorIntervalConverter

convertNet(StochasticNet, Marking, GraphLayoutConnection) - Method in class org.processmining.plugins.pnml.exporting.StochasticNetToPNMLConverter

convertPetrinetToDOT(Petrinet) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

Adopted from exportPN2DOT method from the EventToActivityMatcher plugin

convertStochasticNet(PluginContext, StochasticNet) - Static method in class org.processmining.plugins.stochasticpetrinet.converter.ConvertDistributionsPlugin

convertStochasticNetToType(PluginContext, StochasticNet, Marking, StochasticNet.DistributionType) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

Converts all timed transitions (except immediate and deterministic transitions) to the specified type in the net.

convertToGSPN(StochasticNet) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

convertToNet(PluginContext, PNMLRoot, String, boolean) - Method in class org.processmining.plugins.pnml.importing.StochasticNetDeserializer

convertToNormal(StochasticNet) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

ConvolutionHelper - Class in org.processmining.plugins.stochasticpetrinet.distribution.numeric

ConvolutionHelper() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.numeric.ConvolutionHelper

CostFunction - Interface in org.processmining.plugins.stochasticpetrinet.enricher.optimizer

counter - Variable in class org.processmining.plugins.overfit.AbstractMiner

counter - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

static counter to avoid name clashes in R

createChildContext(String) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

createNewPluginContextID() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

createNewTimeSeries(TimedTransition) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

createSimulatedEvent(Transition, PetrinetGraph, long, String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

createSimulatedEvent(Transition, PetrinetGraph, long, String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

createTrace(long, PNSimulatorConfig) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

cumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

cumulativeProbability(double, double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

cumulativeProbability(double, double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

currentAlignment - Variable in class org.processmining.plugins.stochasticpetrinet.miner.PetrinetLSMiner

currentDistance - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

currentLog - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

currentMarking - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

currentModel - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

currentTimedMarking - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

D

DAYS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

debugTrace(XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

debugTrace(XTrace, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

DEFAULT_C - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

DEFAULT_CUTOFF - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

DEFAULT_N - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

DEFAULT_OUTLIER_RATE - Static variable in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

the least probable 1 percent is considered as outliers per default

DEFAULT_RESOLUTION - Static variable in class org.processmining.plugins.alignment.TimeSeriesConverter

DEFAULT_SEGMENTS - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

DEFAULT_TRANSITION_SIZE - Static variable in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

deleteChild(PluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

deletionInsertionRatio - Variable in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

DELIMITER - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

density - Variable in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

Density calculation assumes INDEPENDENCE of DiagonalDistribution.distX and DiagonalDistribution.distY!

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

density(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

dependentTransitions - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

Stores for each place (encoded as position in EfficientStochasticNetSemanticsImpl.places array) all transitions that depend on the place, are stored in this map

DETERMINISTIC - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

DiagonalDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

A diagonal parallel to the line y = -x is defined by the sum of x and y.

DiagonalDistribution(RealDistribution, RealDistribution, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

Creates an approximation of the distribution along the diagonal y = xAndY - x of a joint probability distribution of P(X,Y) = P(X)P(Y)

DiracDeltaDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

This is the distribution for a random variable emitting a deterministic value.

DiracDeltaDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

DirectAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

DirectAllocation(Set<Allocatable>, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.DirectAllocation

discoverStochNetMode(UIPluginContext, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.miner.StochasticMinerPlugin

discoverStochNetModel(UIPluginContext, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.miner.StochasticMinerPlugin

discretizeDistribution(RealDistribution, double) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

displayMessage(String) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

Distance - Class in org.processmining.plugins.stochasticpetrinet.miner.distance

The score of a candidate Log-Model pair vs.

Distance() - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

DistanceFunction - Interface in org.processmining.plugins.stochasticpetrinet.miner.distance

distribution - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

The distribution to sample from when a timer is requested.

DISTRIBUTION_PARAMETERS - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

DISTRIBUTION_TYPE - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

DISTRIBUTION_TYPE - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

distributionParameters - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

The parameters for the parameterized distribution, or the observations to generate a non-parametric distribution of.

distributionType - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

The StochasticNet.DistributionType which determines the parametric or non-parametric shape of the distribution

DistributionUtils - Class in org.processmining.plugins.stochasticpetrinet.distribution

DistributionUtils() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

drawArrow(Graphics2D, Color, Stroke, Point2D.Double, Point2D.Double, double) - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

drawLine - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

DRIFT_METHOD - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

DriftMethodTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

The drift method extrapolates a line through the first observation and the last observation for computing the next forecast.

DriftMethodTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.DriftMethodTimeSeries

DummyConnectionManager() - Constructor for class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

DummyConsolePluginContext() - Constructor for class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

duration - Variable in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

E

EfficientDiscreteStochasticNetSemanticsImpl - Class in org.processmining.models.semantics.petrinet.impl

Stores a marking encoding temporal states in a discrete domain.

EfficientDiscreteStochasticNetSemanticsImpl() - Constructor for class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

EfficientStochasticNetSemanticsImpl - Class in org.processmining.models.semantics.petrinet.impl

Hopefully more efficient implementation of the semantics...

EfficientStochasticNetSemanticsImpl() - Constructor for class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

EfficientTimedMarking - Class in org.processmining.models.semantics.petrinet.impl

EfficientTimedMarking(short[], int) - Constructor for class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

EfficientTimedMarking(List<Integer>[]) - Constructor for class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

encodedTrans2Pred - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

encodedTrans2Succ - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

engine - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

reference to the R engine

enrichStochasticInformation(PluginContext, Petrinet, StochasticNet.DistributionType) - Static method in class org.processmining.plugins.stochasticpetrinet.converter.ConvertDistributionsPlugin

Entity - Class in org.processmining.plugins.stochasticpetrinet.external

General superclass of everything that can be related to process models.

Entity(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Entity

EntropyCalculatorApproximate - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

EntropyCalculatorApproximate() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorApproximate

EntropyCalculatorExact - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

EntropyCalculatorExact() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorExact

EntropyCalculatorQuantile - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

Created by andreas on 6/7/17.

EntropyCalculatorQuantile() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorQuantile

EntropyCalculatorQuantile(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorQuantile

Constructs a calculator that measures the entropy of a model's possible runs up to a given quantile o

EntropyMeasure - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

A class that captures the entropy of a net.

EntropyMeasure(AbstractionLevel, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyMeasure

EPSILON - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

equals(Object) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

equals(Object) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

equals(Object) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

equals(Object) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.Outcome

equalsMarking(short[]) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

Checks if the number of tokens specified in the marking parameter equals the internal timed marking (ignoring the times on the tokens).

ERROR_BOUND_PERCENT - Static variable in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

Simulation is allowed to stop, when relative error is below this value

errors - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

eventNames - Variable in class org.processmining.plugins.overfit.AbstractMiner

EXCLUSIVE - org.processmining.plugins.temporal.miner.TemporalRelation

execute(long) - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Add the specified value to the collection of samples for this estimator.

executeExecutableTransition(Transition) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

executeExecutableTransition(Transition) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

executeExecutableTransition(Transition, int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

executeExecutableTransitionAtTime(Transition, Integer) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

executeTransition(Semantics<Marking, Transition>, Transition, Long) - Static method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

executeTransitionAtTime(short[], Integer) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

Executes a transition at a given time.

executeTransitionWithDuration(short[], int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

Executes a transition with a given duration.

EXECUTION_POLICY - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

EXPONENTIAL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

exportAnomaliesToJSON(PluginContext, AnomalyIntervals, File) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputerPlugin

exportAsDOTFile(Petrinet, String, String) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Exports a stochastic net as a

ExportLogLikelihoodPlugin - Class in org.processmining.plugins.stochasticpetrinet.analyzer.export

ExportLogLikelihoodPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.export.ExportLogLikelihoodPlugin

exportPetriNetToPNMLFile(PluginContext, Petrinet, Writer) - Method in class org.processmining.plugins.pnml.exporting.PnmlExportStochasticNet

exportPetriNetToPNMLFile(PluginContext, StochasticNet, File) - Method in class org.processmining.plugins.pnml.exporting.PnmlExportStochasticNet

exportPetriNetToPNMLFile(PluginContext, CaseStatisticsList, File) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.export.ExportLogLikelihoodPlugin

F

FakePluginContext(UIPluginContext, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

FakePluginContext(PluginContext) - Constructor for class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

FastDensityFunction - Class in org.processmining.plugins.stochasticpetrinet.distribution.numeric

FastDensityFunction(ReplayStep) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.numeric.FastDensityFunction

No children.

FastDensityFunction(ReplayStep, ReplayStep) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.numeric.FastDensityFunction

One child.

filterLogForMostFrequentTrace(XLog) - Static method in class org.processmining.plugins.filter.context.SimpleHeuristicFilter

filterTracesBasedOnModulo(XLog, int, int, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Filter traces based on modulo Idea is to split log in two disjoint sets: the training set and the test set.

finalmarkings - Variable in class org.processmining.plugins.pnml.simple.PNMLModule

findIntervalsBelowZero(UnivariateFunction, Double, Double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputer

The idea is to look for

findLastAvailableObservation() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

firingTimes - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

stores firing times for transitions

FIRST_WAIT_TIME_IS_ZERO - org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

fit(LimitedQueue<Observation<H>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

Subclasses need to fit their corresponding time series model to the currently available data.

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AutoArimaTimeSeries

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AverageMethodTimeSeries

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.DriftMethodTimeSeries

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.NaiveMethodTimeSeries

fit(LimitedQueue<Observation<Double>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.SeasonalNaiveMethodTimeSeries

fitGaussianKernels() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

FITNESS - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

FITNESS_TREE - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

flattenLifecycles(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

floydWarshall(double[][]) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

Assumes that graph is an adjacency matrix of distances (0 for connected with no cost or identity, val for directly connected with cost val, Double.POSITIVE_INFINITY for unconnected)

formatMillisToHumanReadableTime(long) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

fromPetrinet(PluginContext, PetrinetGraph, Marking) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

fromPetriNetExternal(PluginContext, PetrinetGraph, Marking) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

fromStochasticNet(PluginContext, StochasticNet, Marking) - Static method in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

fromString(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

fromString(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

fromString(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

function - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

G

GAMMA - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

GAUSSIAN_KERNEL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

GaussianKernelDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

Simple gaussian kernel estimator.

GaussianKernelDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

GaussianKernelDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

Creates a kernel distribution grouping kernels with values falling into the range of the precision parameter into one "bin" with added weight Precision 0.1 for example creates ten bins for one unit, precision 0.5 creates two bins.

GaussianReflectionKernelDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

Very plain boundary reflection kernel estimator.

GaussianReflectionKernelDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

Boundary at x=0 for positive domain.

GaussianReflectionKernelDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

GaussianReflectionKernelDistribution(double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

GENERALIZATION - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

GENERALIZATION_MEASURE - Static variable in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

GENERALIZATION_TREE - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

GENERALIZATION1 - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

generateAllSubsets(Set<T>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Generates all subsets of a set.

generateAllSubsetsOfSize(Set<T>, int, int) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

generateCrossProduct(Set<Set<T>>, Set<Set<T>>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

generateNet(UIPluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorPlugin

generateNet(StochasticNet, PetrinetModelAllocations, Set<Allocatable>, int, double, double, long) - Static method in class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

Generates a net based on a basis and a number of cases that are drawn randomly from the model.

generateObservationAwareNet(StochasticNet, PetrinetModelAllocations, Set<Allocatable>, double) - Static method in class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

TOSO: Currently we neglect resources!

generateStochasticNet(GeneratorConfig) - Method in class org.processmining.plugins.stochasticpetrinet.generator.Generator

Generator - Class in org.processmining.plugins.stochasticpetrinet.generator

Generates block-structured Petri nets with an iterative mechanism.

Generator(long) - Constructor for class org.processmining.plugins.stochasticpetrinet.generator.Generator

GeneratorConfig - Class in org.processmining.plugins.stochasticpetrinet.generator

Configuration settings for the stochastic Petri net generator Generator.

GeneratorConfig() - Constructor for class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

GeneratorConfigPanel - Class in org.processmining.plugins.stochasticpetrinet.generator

GeneratorConfigPanel() - Constructor for class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfigPanel

GeneratorPlugin - Class in org.processmining.plugins.stochasticpetrinet.generator

Generates block-structured StochasticNet models given different parameters specified in GeneratorConfig.

GeneratorPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.generator.GeneratorPlugin

get(int, int) - Method in class org.processmining.plugins.temporal.miner.TemporalRelations

getAbstractionLevels() - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

getActivity() - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

getActivity() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getActivityName(XEventClass) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getAddPercentage() - Method in interface org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseLogFilterParameters

getAdjacencyMatrix() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getAfter() - Method in class org.processmining.plugins.temporal.model.TemporalConnection

getAllAllocatables() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocation

getAllAllocatables() - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

getAllAllocatables() - Method in class org.processmining.plugins.stochasticpetrinet.external.DirectAllocation

getAllAllocatables() - Method in class org.processmining.plugins.stochasticpetrinet.external.PoissonAllocation

getAllAllocatables() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformAllocation

getAllAllocatables() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformSetAllocation

getAllLocationAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

getAllocatedEntities() - Method in class org.processmining.plugins.stochasticpetrinet.external.ProbabilisticAllocation

getAllocation() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocation

getAllocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

randomly draws an allocation from the distribution

getAllocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.DirectAllocation

getAllocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.PoissonAllocation

getAllocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformAllocation

getAllocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformSetAllocation

getAllocation(String) - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocation

getAllocation(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

getAllocation(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.DirectAllocation

getAllocation(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.PoissonAllocation

getAllocation(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformAllocation

getAllocation(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformSetAllocation

getAllocations(Transition) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

getAllTransitivePerformers() - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

getAnomalousIntervals(PluginContext, StochasticNet, double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputer

getAnomalousIntervalsForDistribution(RealDistribution, double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputer

getAnomalyRate() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

getArcType() - Method in class org.processmining.plugins.pnml.simple.PNMLArc

getAreasPassed() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

getArWeights() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

getAsDoubleArray(Collection<Double>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getAssumption() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints

getAverage(ModelComparisonResult...) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.ModelComparisonResult

Averages out multiple ModelComparisonResults

getBefore() - Method in class org.processmining.plugins.temporal.model.TemporalConnection

getBestLog() - Method in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

getBestModel() - Method in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

getBitSet(List<TemporalRelation>, TemporalRelation) - Static method in class org.processmining.plugins.temporal.miner.TemporalProfile

getBufferedTraceBounds(XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getBufferedTraceBounds(XTrace, long) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getCanBePerformedByRoles() - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

getCapacity() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocatable

Returns the capacity of the allocatable entity.

getCapacity() - Method in class org.processmining.plugins.stochasticpetrinet.external.Location

getCapacity() - Method in class org.processmining.plugins.stochasticpetrinet.external.Person

getCapacity() - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

Roles cannot perform anything by themselves!

getCapacity() - Method in class org.processmining.plugins.stochasticpetrinet.external.Room

getCaseDuration() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

getCaseEndDate() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

getCaseId() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

getCaseId() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

getCaseStartDate() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

getCaseStatistics() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getCaseStatistics(int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

Only applicable, if the replay was done on a StochasticNet model.

getCensoredFiringTimes(int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getChildContexts() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getChildLocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.Location

getChoices() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

getClickedNode(int, int) - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

getCode() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeseriesPredictor

getColor() - Method in class org.processmining.plugins.pnml.simple.PNMLFill

getColor() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

getComparisonResult(StochasticNet, StochasticNet, PerformanceEnricher) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentResult

getComputedMeasures() - Method in class org.processmining.plugins.stochasticpetrinet.measures.ComputedMeasures

getConfidenceIntervalWidth(DescriptiveStatistics, double) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

getConfig(UIPluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfigPanel

getConfig(UIPluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfigUI

getConnection(ConnectionID) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

getConnectionIDs() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

getConnectionListeners() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

getConnectionManager() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getConnectionManager() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

getConnections() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getConnections(Class<T>, PluginContext, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

getConstrainedWrapper(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedDistributionFactory

getConstrainedWrapper(RealDistribution, double) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedDistributionFactory

getConstraints() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getConvolvedDistribution(RealDistribution, RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.numeric.ConvolutionHelper

getConvolvedDistribution(RealDistribution, RealDistribution, int) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.numeric.ConvolutionHelper

getCorrelationMatrixFile() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getCost(double[]) - Method in interface org.processmining.plugins.stochasticpetrinet.enricher.optimizer.CostFunction

returns the cost for a current assignment to the parameter vector theta.

getCost(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.MarkingBasedSelectionWeightCostFunction

getCountBelowZero() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

getCountInLog() - Method in class org.processmining.plugins.temporal.model.TemporalNode

getCurrentInternalState() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getCurrentSeriesValue(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

getCurrentSeriesValue(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.SinusoidalSeries

getCurrentSeriesValue(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

Sub-classes need to implement this.

getCurrentState() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getCurrentState(StochasticNet, Marking, XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

TODO: Maybe switch to alignment approach

getCurrentStateWithAlignment(StochasticNet, Marking, XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

getDataCount(int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getDefaultInitialMarking(PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getDegreeOfExclusiveChoices() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getDegreeOfLoops() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getDegreeOfParallelism() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getDegreeOfSequences() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getDeletionInsertionRatio() - Method in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

getDensityFunction(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

Simply returns a wrapper function that returns the density.

getDimension() - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

getDirectPerformers() - Method in class org.processmining.plugins.stochasticpetrinet.external.Role

getDistance(BitSet) - Method in class org.processmining.plugins.temporal.miner.TemporalTraces

getDistance(PluginContext, ProcessTree2Petrinet.PetrinetWithMarkings, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getDistance(Activity, Activity, WorldConfiguration) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.LogLocationDelayInducer

getDistance(ProcessTree2Petrinet.PetrinetWithMarkings, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Aligns the petri net to a log and return the distance.

getDistanceInTrace() - Method in class org.processmining.plugins.temporal.model.TemporalSample

getDistanceMap(V) - Method in class org.utils.datastructures.graph.BellmanFordDistance

getDistances() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getDistances(PluginContext, CaseTimeSeries) - Static method in class org.processmining.plugins.alignment.TimeSeriesComparer

Returns the upper right triangular matrix [ , 1, 2, 3, 4] [ , , 5, 6, 7] [ , , , 8, 9] [ , , , ,10] [ , , , , ]

getDistribution() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getDistributionParameters() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getDistributionType() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getDistributionType() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getDoubleArray(List<Double>) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getDummyConsoleProgressContext() - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getDummyUIContext() - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getDuration() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getDuration() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

getDuration() - Method in class org.processmining.plugins.temporal.model.TemporalSample

getDurationOfFiring(short[], Short[], int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

getDurationOfTransition(Transition, Short[], int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

getDurationsForEvent(int, BitSet) - Method in class org.processmining.plugins.temporal.miner.TemporalProfile

getDurationsStats(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getEdges() - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

getEmptyClone() - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

getEnabledTransitions() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

Gets all transitions, that are still enabled, even though some immediate transitions can fire first.

getEnabledTransitions() - Method in class org.processmining.models.semantics.petrinet.impl.StochasticNetSemanticsImpl

Gets all transitions, that are still enabled, even though some immediate transitions can fire first.

getEnabledTransitionsByOnlyLookingAtPossibleCandidates() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getEnabledTransitionsBySearchingThroughHashMaps() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getEnabledTransitionsBySearchingThroughMatrix() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getEncOfTrans(Transition) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getEndEvent() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getEndPlaces(PetrinetGraph) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

getEndTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getEndTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getEndTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getEndTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

getEngine() - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.RProvider

getEntropy() - Method in class org.processmining.plugins.stochasticpetrinet.external.AbstractAllocation

Returns the entropy of the allocation distribution.

getEntropy(Map<E, Double>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Computes entropy of a discrete probability distribution.

getEntropyForOutcomes(Map<Outcome, Double>) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

getError(DescriptiveStatistics) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

getErrorPercent(DescriptiveStatistics) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

getEvClassMapping(PetrinetGraph, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getEvClassMapping(PetrinetGraph, XLog, XEventClassifier) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets a very simple mapping based on the naming of activities

getEventClass() - Method in class org.processmining.plugins.temporal.model.TemporalNode

getEventCount() - Method in class org.processmining.plugins.temporal.miner.TemporalProfile

getEventId(String) - Method in class org.processmining.plugins.overfit.AbstractMiner

getEventId(XEvent) - Method in class org.processmining.plugins.overfit.AbstractMiner

getExecutableTransitions() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

Overrides default semantics, as only one of the transitions with highest priority can fire

getExecutableTransitions() - Method in class org.processmining.models.semantics.petrinet.impl.StochasticNetSemanticsImpl

Overrides default semantics, as only one of the transitions with highest priority can fire

getExecutionPolicy() - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

getExecutionPolicy() - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

Returns the execution policy (see StochasticNet.ExecutionPolicy) of the net.

getExecutionPolicy() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getExecutionPolicy() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getExecutionPolicy() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

getExecutor() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getFilePrefix() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getFill() - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

getFinalDistance(Distance) - Method in interface org.processmining.plugins.stochasticpetrinet.miner.distance.DistanceFunction

Computes some (weighted) average of the individual distance components.

getFinalDistance(Distance) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.SimpleDistanceFunction

getFinalMarking(PluginContext, PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getFinalMarking(PluginContext, PetrinetGraph, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets the final marking that is associated with the Petri Net

getFinalmarkings() - Method in class org.processmining.plugins.pnml.simple.PNMLModule

getFinalMarkings() - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

getFinalPlaces(PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

getFiringRate(Transition) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getFiringTimes(int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getFirst() - Method in class org.utils.datastructures.ComparablePair

getFirst() - Method in class org.utils.datastructures.Triple

getFirstConnection(Class<T>, PluginContext, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

getFitness() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

getFittingPetrinetWithChoicesModeledAsImmediateTransitions(UIPluginContext, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.miner.StochasticMinerPlugin

getFullDuration() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

getFutureResult(int) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getFutureResult(int) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

getGeneralization() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

getGraphics() - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

getGraphics() - Method in class org.processmining.plugins.pnml.simple.PNMLName

getGraphics() - Method in class org.processmining.plugins.pnml.simple.PNMLText

getH() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

The smoothing parameter for the density estimation that depends on the number of nodes and the inter-quartile range

getHeader() - Static method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getHeader() - Static method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

getId() - Method in class org.processmining.plugins.pnml.simple.PNMLArc

getId() - Method in class org.processmining.plugins.pnml.simple.PNMLPage

getId() - Method in class org.processmining.plugins.pnml.simple.PNMLPlace

getId() - Method in class org.processmining.plugins.pnml.simple.PNMLTransition

getId() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getId() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getID() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getIdRef() - Method in class org.processmining.plugins.pnml.simple.PNMLPlaceRef

getImputedRecords(SortedMultiset<Record>) - Method in class org.processmining.plugins.stochasticpetrinet.external.anomaly.GreedyAnomalyResolver

getIndex(double, double) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

The bin index starting with 0 for values between 0 inclusive and binwidth exclusive

getIndexBinarySearch(double[], double) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getIndexBinarySearch(long[], long) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getIndexForTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

getIndividualOutlierSteps(CaseStatistics) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getInitialMarking() - Method in class org.processmining.plugins.pnml.simple.PNMLPlace

getInitialMarking() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getInitialMarking(PluginContext, PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets the initial marking, that is associated with the Petri Net Uses a cache to not bother with connections on multiple calls

getInitialMarking(PluginContext, PetrinetGraph, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets the initial marking, that is associated with the Petri Net

getInitialPlaces(PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

getInscription() - Method in class org.processmining.plugins.pnml.simple.PNMLArc

getInstance() - Static method in class org.processmining.models.semantics.petrinet.impl.NormalizedMarkingCache

getInstanceKey() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getInternalState() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

getIntersectTime(Record) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getIntervals() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

getJbptNet() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

getJRIAvailable() - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.RProvider

getJSONForAnomalies(Map<Transition, List<Pair<Double, Double>>>, String, Double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalousIntervalsComputerPlugin

Returns a JSON-Object containing the anomalous regions supplied as parameter

getKey(List<Integer>[]) - Method in class org.processmining.models.semantics.petrinet.impl.NormalizedMarkingCache

getLabel() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getLast() - Method in class org.utils.datastructures.LimitedQueue

Provides access to the element inserted as last (the youngest element in the queue)

getLastObservation() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

getLatestNode() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getLearnedDistributionType() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getLearnSPNFromData() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getLevel() - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractionLevel

getLevel() - Method in class org.processmining.plugins.stochasticpetrinet.measures.ListAbstractionLevel

getLevel() - Method in class org.processmining.plugins.stochasticpetrinet.measures.MultiSetAbstractionLevel

getLevel() - Method in class org.processmining.plugins.stochasticpetrinet.measures.SetAbstractionLevel

getList() - Method in class org.processmining.plugins.pnml.simple.PNMLPage

getLocallyOptimalModel(TemporalProfile) - Method in class org.processmining.plugins.temporal.miner.TemporalProfileOptimizer

getLocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getLocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getLocationAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

getLocationGraph() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getLocationId(String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getLocationKey() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getLocationKey() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

getLocations() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getLogDistance() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

getLoggingListeners() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getLogLikelihood() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

getLogLikelihood(PluginContext, XLog, StochasticNet, int) - Static method in class org.processmining.plugins.stochasticpetrinet.analyzer.LikelihoodAnalyzer

Computes the log likelihood of a trace given a net.

getLogLikelihoodCutoff(TimedTransition) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getLogLikelihoodDistribution(TimedTransition) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getLogLikelihoods(PluginContext, XLog, StochasticNet) - Static method in class org.processmining.plugins.stochasticpetrinet.analyzer.LikelihoodAnalyzer

Computes the log likelihood of a trace given a net.

getLogProbability(XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Retrieves the log-probability of a trace that is stored in its attributes.

getLogProbabilityOfLastTrace() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

getMarking() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

getMarking(String) - Method in class org.processmining.models.semantics.petrinet.impl.NormalizedMarkingCache

getMarkingBasedSelections() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

Gets all markings, where selection is based on weights (markings, where only immediate transitions are enabled, or all markings, where )

getMarkingBasedSelections() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getMarkings() - Method in class org.processmining.plugins.pnml.simple.PNMLFinalMarkings

getMaWeights() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

getMaxActivityCount() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getMaxTraceDuration() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getMean(Collection<? extends Number>) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getMeanDuration(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets the mean duration of all the traces in the log in milliseconds

getMeanDuration(StochasticNet, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets the mean duration of the model by a simple simulation.

getMeanTraceFitness() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getMeasure(UIPluginContext, Petrinet) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

getMeasure(UIPluginContext, Petrinet) - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasurePlugin

getMeasure(UIPluginContext, Petrinet) - Method in interface org.processmining.plugins.stochasticpetrinet.measures.MeasureProvider

Calculates a model measure for a given Petrinet.

getMeasure(UIPluginContext, Petrinet, MeasureConfig) - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasurePlugin

getMeasureName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorApproximate

getMeasureName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorExact

getMeasureName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorQuantile

getMeasureName() - Method in interface org.processmining.plugins.stochasticpetrinet.measures.MeasureProvider

Name of the measure that will be computed

getMeasureProviders() - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

getMinimalDate(XTrace) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getMissingDataHandling() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

getMissingRatio() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getModelDensities(ReplayStep, RealDistribution, double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

Returns the likelihood ratio of the ReplayStep x stemming from an error distribution, or from the original distribution.

getModelDistance() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

getModule() - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

getMonitoringIterations() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getName() - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

getName() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocatable

getName() - Method in class org.processmining.plugins.stochasticpetrinet.external.Entity

getName() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getName() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractionLevel

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractMeasure

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyMeasure

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.ListAbstractionLevel

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.MultiSetAbstractionLevel

getName() - Method in class org.processmining.plugins.stochasticpetrinet.measures.SetAbstractionLevel

getName() - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

getName() - Method in class org.processmining.plugins.temporal.model.TemporalNode

getNameForNumber(int) - Static method in class org.processmining.plugins.stochasticpetrinet.generator.Generator

getNameInfo() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

getNameInfo() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorApproximate

getNameInfo() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorExact

getNameInfo() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorQuantile

getNames() - Method in class org.processmining.plugins.alignment.model.CaseTimeSeries

getNet() - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

getNetLabel() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

getNets() - Method in class org.processmining.plugins.pnml.simple.PNMLModule

getNewName(String, String) - Method in interface org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.Renamer

getNextArrivalDate(Date, StochasticNet.TimeUnit) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

getNodes() - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

getNodes() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getNoise() - Method in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

getNPoints() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

getNumberOfTokens(int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

The expected value:

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

Calculates the numerical mean under the plot function of the log-spline fit.

getNumericalMean() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

getNumericalVariance() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

getObservationOfLastSeason(long) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

getObservedValuesString() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

getOffset() - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

getOnlyImmediateTransitions(Collection<Transition>, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Checks whether all transitions in set are immediate (if flag onlyImmediate is true) or whether all transitions in set are timed (if flag onlyImmediate is false).

getOrderedList() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getOrderRelation(PetrinetGraph) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

Use jbpt library to get relations of the behavioral profile of the net.

getOutcomesAndCounts(UIPluginContext, Petrinet, Marking, AbstractionLevel) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

getOutcomesAndCounts(UIPluginContext, Petrinet, Marking, AbstractionLevel) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorApproximate

getOutcomesAndCounts(UIPluginContext, Petrinet, Marking, AbstractionLevel) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorExact

getOutlierCount(CaseStatistics) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getOutlierRate() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getPage() - Method in class org.processmining.plugins.pnml.simple.PNMLNet

getParameters() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

getParameters() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

getParameters(XLog, TransEvClassMapping, PetrinetGraph, Marking, Marking, XEventClassifier, TransClasses) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getParentContext() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getParentLocation() - Method in class org.processmining.plugins.stochasticpetrinet.external.Location

getPartialDerivation(double[], int) - Method in interface org.processmining.plugins.stochasticpetrinet.enricher.optimizer.CostFunction

returns the partial derivation of the i-th index of the function

getPartialDerivation(double[], int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.MarkingBasedSelectionWeightCostFunction

Simply return the average error (not squared)

getPath() - Method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

getPerformanceCollector() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

getPlaceId(Place) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getPlaceMapping() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

getPlaces() - Method in class org.processmining.plugins.pnml.simple.PNMLMarking

getPlainNet(UIPluginContext, Petrinet) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Converts any advanced Petri net into a plain net -> (useful for stochastic nets, especially)

getPluginContextType() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPluginDescriptor() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPluginLifeCycleEventListeners() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPluginManager() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPolicy() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getPosition() - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

getPrecision() - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AutoArimaTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AverageMethodTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.DriftMethodTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.NaiveMethodTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.SeasonalNaiveMethodTimeSeries

getPrediction(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

Subclasses need to provide an implementation for the prediction of h-steps into the future given the current position

getPredictionDates() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

getPredictionResults() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentResult

getPredictionStats(StochasticNet, XTrace, Date, boolean, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

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

getPredictionStats(StochasticNet, XTrace, Date, boolean, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.TimePredictor

getPredictionStats(StochasticNet, XTrace, Date, boolean, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeseriesPredictor

getPredictionTimeDate() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

getPriority() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getProbabilitiesOfAllocations() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocation

getProbabilitiesOfAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationDistribution

getProbabilitiesOfAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.DirectAllocation

getProbabilitiesOfAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.PoissonAllocation

getProbabilitiesOfAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformAllocation

getProbabilitiesOfAllocations() - Method in class org.processmining.plugins.stochasticpetrinet.external.UniformSetAllocation

getProbability() - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

getProbability() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

getProcessMeanDuration(StochasticNet, XLog, Marking, PredictionExperimentConfig) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

getProgress() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getProgress() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

getProgressEventListeners() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPromNet() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

getProperties() - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

getProvidedObjectManager() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getPValueOfStepIntegral(ReplayStep) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getQuantile() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

getRandomDouble() - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getRandomIndex(double[], Random) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Takes a double[] of weights and selects an item randomly according to a random number generator such that each item in the array has a probability of (weight of item / sum of weights);

getRandomIndex_old(double[], Random) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getRandomInt(int) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getRandomParameters(StochasticNet.DistributionType) - Method in class org.processmining.plugins.stochasticpetrinet.generator.Generator

returns random parameters of distributions, such that the mean is between 1 and 10 and the variance is around 2

getRandomRelation() - Method in class org.processmining.plugins.temporal.miner.TemporalRelations

getReachableStateSpaceSize(Petrinet) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getReachableStateSpaceSize(Petrinet, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getRealDuration(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getRealPart(Complex[]) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

Useful after operations in Fourier space.

getReasonableLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getReasonableUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getRegularSteps(CaseStatistics) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getRelativePositionInTrace(TemporalNode) - Method in class org.processmining.plugins.temporal.model.TemporalModel

Average distance of the event from the start node.

getReliableUpperBound(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

getRemovePercentage() - Method in interface org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseLogFilterParameters

getREngine() - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.RProvider

getReplaySteps() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

getResource() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

getResourceKey() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

getResourceKeys() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getResources() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

For an activity, this returns the associated handling resources (optionally) + the current instance (always last in the array)

getResources(String) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

getResourceSpeedFactor(String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getResourceString(Set<String>) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

getResult() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getResult() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

getResultFileName() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getResultingAllocationDistribution() - Method in class org.processmining.plugins.stochasticpetrinet.external.AllocationConfig

getResultsCSV(PerformanceEnricherExperimentPlugin.ExperimentType) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentResult

getReturnObject(XTrace, long, PNSimulatorConfig) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

getReverseEntropy(Allocation.AllocType) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

getRightCensoredValuesString() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

getRoles() - Method in class org.processmining.plugins.stochasticpetrinet.external.Resource

getRootContext() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

getRow() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getSamples() - Method in class org.processmining.plugins.temporal.model.TemporalConnection

getSamplingConstantC() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

getScaleForViewInProM() - Static method in class org.processmining.plugins.pnml.PNMLParameter

getScriptsToLoad() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

getSecond() - Method in class org.utils.datastructures.ComparablePair

getSecond() - Method in class org.utils.datastructures.Triple

getSemantics(PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Gets a regular semantic for a Petri Net

getSemantics(StochasticNet, XTrace, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

getSimilarity(E[], E[]) - Static method in class org.utils.datastructures.measure.JaccardSimilarity

getSimilarity(Collection<E>, Collection<E>) - Static method in class org.utils.datastructures.measure.JaccardSimilarity

getSimulatedTraces() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getSmoothingFactor() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getSortedLog(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getSource() - Method in class org.processmining.plugins.pnml.simple.PNMLArc

getStartEvent() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getStartNode() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getStartTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

getStartTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

getStartTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

getStartTime() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

getStats() - Method in class org.processmining.plugins.temporal.model.TemporalConnection

getStochasticNet() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

getString(Set<Allocatable>) - Static method in class org.processmining.plugins.stochasticpetrinet.external.AbstractAllocation

getSubTrace(XTrace, long) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

This method extracts the portion of the trace that has happened before the timeUntil parameter.

getSum(int...) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.MarkingBasedSelectionWeightCostFunction

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

getSupportLowerBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

getSupportUpperBound() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

getTarget() - Method in class org.processmining.plugins.pnml.simple.PNMLArc

getTemporalProfile(PluginContext, XLog) - Method in class org.processmining.plugins.temporal.miner.TemporalAnalyzer

getText() - Method in class org.processmining.plugins.pnml.simple.PNMLText

getThird() - Method in class org.utils.datastructures.Triple

getTime() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

getTimeSeries(int) - Method in class org.processmining.plugins.alignment.model.CaseTimeSeries

getTimeSeriesClass() - Method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

getTimeSeriesList() - Method in class org.processmining.plugins.alignment.model.CaseTimeSeries

getTimeseriesType() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

getTimeSpecification(int) - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

getTimeUnit() - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

getTimeUnit() - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

The time unit used in the stochastic net

getTimeUnit() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getTimeUnit() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getTimeUnit() - Method in class org.processmining.plugins.temporal.model.TemporalModel

getTimeUnitFactor() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getTokens() - Method in class org.processmining.plugins.pnml.simple.PNMLPlaceRef

getTool() - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

getToolspecific() - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

getTrace() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

getTraceDate(XEvent) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Extracts the date of an event

getTrainingData() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

Training Data in the form of RELATIVE_DURATION ";" SYSTEM_LOAD ";" TIMESTAMP

getTrainingData(int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

getTrainingDataUpTo(long) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getTransition(short) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getTransitionCandidates() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getTransitionClassIsInvisible(TransClass, PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Checks whether at least one of the transitions of the transition class are invisible.

getTransitionContraints() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints

getTransitionId(Transition) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getTransitionLocationMapping() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

getTransitionMapping() - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

getTransitionMatrix() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

getTransitionProbabilities(Date, int, Collection<Transition>, EfficientStochasticNetSemanticsImpl) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

getTransitionRemainingTime(Transition, StochasticNet.TimeUnit, Map<Transition, Long>, long, double, LimitedTreeMap<Integer, Map<Transition, RealDistribution>>, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Checks if the transition has already a running task (depending on the memory policy, this can be true) and returns that value, or samples a new value freshly from the distribution.

getTransitions() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getTransitionSize() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

getTransitionsOfHighestPriority(Collection<Transition>) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

getTransitionWithIndex(Collection<Transition>, int) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

getType() - Method in class org.processmining.plugins.pnml.simple.PNMLNet

getType() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getType() - Method in class org.processmining.plugins.stochasticpetrinet.external.AbstractAllocation

getType() - Method in interface org.processmining.plugins.stochasticpetrinet.external.Allocation

getTypeOfDistributionForNet(PluginContext, PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

getUnitFactor() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

getUnitFactor() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

getUnitFactorToMillis() - Method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

Returns the conversion factor

getUpperBoundDuration(StochasticNet, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

getVal(double) - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

Returns the value of the weighted density functions

getValsString() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

getValue() - Method in class org.processmining.plugins.pnml.simple.PNMLName

getValue() - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractMeasure

We assume that all measures can be expressed in terms of a Number

getValue(int, double) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

getValues() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

getValuesFromPanel(PredictionExperimentConfig.PredictionExperimentPanel) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getVectorLength(Complex[]) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

getVersion() - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

getWeight() - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

getWeight() - Method in class org.processmining.plugins.stochasticpetrinet.external.ProbabilisticAllocation

getWeight(Transition) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Returns the weight of a transition.

getWeightedFunction(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

Used for numerical integration to compute the mean.

getWeightedSecondMomentFunction(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

Used for numerical integration to compute the variance.

getWorkerCount() - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

getX() - Method in class org.processmining.plugins.pnml.simple.PNMLDimension

getX() - Method in class org.processmining.plugins.pnml.simple.PNMLPoint

getXMax() - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

getXMin() - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

getY() - Method in class org.processmining.plugins.pnml.simple.PNMLDimension

getY() - Method in class org.processmining.plugins.pnml.simple.PNMLPoint

getYMax() - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

GLOBAL_PRESELECTION - org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

GradientDescent - Class in org.processmining.plugins.stochasticpetrinet.enricher.optimizer

GradientDescent() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.GradientDescent

graphElementAdded(Object) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

graphElementRemoved(Object) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

graphics - Variable in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

graphics - Variable in class org.processmining.plugins.pnml.simple.PNMLText

GreedyAnomalyResolver - Class in org.processmining.plugins.stochasticpetrinet.external.anomaly

Greedily resolves anomalies in Sensor data.

GreedyAnomalyResolver() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.anomaly.GreedyAnomalyResolver

group(Collection<V>, Aggregate.Function<V, K>) - Static method in class org.utils.datastructures.Aggregate

H

h - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

smoothing parameter

hashCode() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

hashCode() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

hashCode() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

hashCode() - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.Outcome

hasPluginDescriptorInPath(PluginDescriptor, int) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

HISTOGRAM - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

HOURS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

I

IDLE - Static variable in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

idx2Trans - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

Mapping the Petri net to integer-encoded numbers

IMMEDIATE - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

importFromStream(PluginContext, InputStream, String, long) - Method in class org.processmining.plugins.pnml.importing.PnmlImportStochasticNet

INDEPENDENT - org.processmining.plugins.temporal.miner.TemporalRelation

induceLocationDelay(XLog, WorldConfiguration, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.LogLocationDelayInducer

init(XLog, XLogInfo) - Method in class org.processmining.plugins.temporal.model.TemporalModel

initDistribution(double) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

initialize(Collection<Transition>, Marking) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

initialize(Collection<Transition>, Marking) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

initialize(Collection<Transition>, Marking) - Method in class org.processmining.models.semantics.petrinet.impl.StochasticNetSemanticsImpl

initialize(Collection<Transition>, Marking, int) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

initPositions() - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

initTimedPlaces(TIntObjectMap<List<Long>>, short[]) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.ReliableInvisibleTransitionPerfCounter

Initialize start tokens with trace start date.

initWithValues(double[], double[]) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

Initializes the log spline density estimation with the observed and right censored values.

insertEvent(String, XTrace, PetrinetGraph, Triple<Transition, Long, Double>, long, PNSimulatorConfig) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

insertNoise(XLog) - Method in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

Inserts noise into the log in each trace.

integrateReliably(UnivariateFunction, double, double) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

Integrates a function numerically with the SimpsonIntegrator.

Interaction - Class in org.processmining.plugins.stochasticpetrinet.external.interaction

An interaction candidate that is created by looking at different combinations of SensorInterval s.

Interaction(String, SortedSet<String>, String, long, long) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

IntervalVisualizer(SortedSensorIntervals, SortedSet<String>, Map<String, Color>) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization.IntervalVisualizer

introduceNoise(PluginContext, XLog) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

inverseCumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

inverseCumulativeProbability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

INVISIBLE - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

invokeBinding(PluginParameterBinding, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

invokePlugin(PluginDescriptor, int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

isActivityRecord() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

isAllowUnbounded() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

isAnomaly() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

isAvailable(H) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AutoArimaTimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AverageMethodTimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.DriftMethodTimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.NaiveMethodTimeSeries

isAvailable(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.SeasonalNaiveMethodTimeSeries

isCaseResourceName(String) - Static method in class org.processmining.plugins.stochasticpetrinet.external.Person

isCollectingLoadData() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

isContainsLoops() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

isCreateDedicatedImmediateStartTransition() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

isDeterministicBoundedStateSpaceExploration() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

isDistantChildOf(PluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

isEnabled() - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

isFinal(Marking, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

isImmedateTransitionsInvisible() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

isLocationEnabledSimulation() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

isOneBounded(Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

isOutlierLikelyToBeAnError(ReplayStep) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

Let X be this node's random duration variable having the value x.

isParallelismOnlyInParts() - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

isPatient(String) - Static method in class org.processmining.plugins.stochasticpetrinet.external.anomaly.GreedyAnomalyResolver

isPaused() - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

isResourceTimeAsynchronous() - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

isSupportConnected() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

Deprecated.

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

isSupportLowerBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.BernsteinExponentialApproximation

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiagonalDistribution

Deprecated.

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

Deprecated.

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

isSupportUpperBoundInclusive() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

ITERATION_KEY - Static variable in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

J

JaccardSimilarity - Class in org.utils.datastructures.measure

JaccardSimilarity() - Constructor for class org.utils.datastructures.measure.JaccardSimilarity

K

KEEP_AS_NAN - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.MissingDataHandling

kernelPointsAndWeights - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

This map stores the number of occurrences of values in defined intervals.

key - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

A unique key for this time series

L

label - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

lag - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

the window to use for predictions

LAST_OBSERVATION - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

lastFiringTime - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Stores the time of the last step in the simulation.

LastObservationTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

LastObservationTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

lastTime - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

length() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

letUserChooseValues(UIPluginContext) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

letUserChooseValues(UIPluginContext, PredictionExperimentConfig.PredictionExperimentPanel) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

LIFECYCLE_TRANSITION - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

LikelihoodAnalyzer - Class in org.processmining.plugins.stochasticpetrinet.analyzer

LikelihoodAnalyzer() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.LikelihoodAnalyzer

LikelihoodAnalyzerPlugin - Class in org.processmining.plugins.stochasticpetrinet.analyzer

LikelihoodAnalyzerPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.LikelihoodAnalyzerPlugin

LimitedQueue<K> - Class in org.utils.datastructures

A data structure that is limited in size and otherwise works as a queue (but can also access the latest/youngest element at the tail)

LimitedQueue(int) - Constructor for class org.utils.datastructures.LimitedQueue

LimitedTreeMap<K,V> - Class in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

A TreeMap limited in upper size...

LimitedTreeMap<K,V> - Class in org.utils.datastructures

A TreeMap limited in upper size...

LimitedTreeMap(int) - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeMap

LimitedTreeMap(int) - Constructor for class org.utils.datastructures.LimitedTreeMap

LimitedTreeSet<E> - Class in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

A TreeSet with an upper bound on size (if an element will be inserted, the lowest value will be removed)

LimitedTreeSet<E> - Class in org.utils.datastructures

A TreeSet with an upper bound on size (if an element will be inserted, the lowest value will be removed)

LimitedTreeSet(int) - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeSet

LimitedTreeSet(int) - Constructor for class org.utils.datastructures.LimitedTreeSet

limitSize() - Method in class org.utils.datastructures.LimitedQueue

linkify(String, String, String) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Creates a JLabel acting as a clickable link code from http://stackoverflow.com/questions/527719/how-to-add-hyperlink-in-jlabel

ListAbstractionLevel - Class in org.processmining.plugins.stochasticpetrinet.measures

Not really abstracting.

ListAbstractionLevel() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.ListAbstractionLevel

LoadAnnotationPlugin - Class in org.processmining.plugins.filter.context

This is very basic.

LoadAnnotationPlugin() - Constructor for class org.processmining.plugins.filter.context.LoadAnnotationPlugin

loadedScriptsJRI - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.RTimeSeries

loadScriptJRI(TimeSeriesConfiguration.AvailableScripts) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.RTimeSeries

TODO: make this work from a jar:

LocalSearchMiner<M> - Class in org.processmining.plugins.stochasticpetrinet.miner

LocalSearchMiner(DistanceFunction, PluginContext, XLog, M) - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

Location - Class in org.processmining.plugins.stochasticpetrinet.external

Location(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Location

Location(String, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Location

LOCATION - org.processmining.plugins.stochasticpetrinet.external.Allocation.AllocType

LOCATION_HEIGHT - Static variable in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization.IntervalVisualizer

LOCATION_ROOM - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

LocationChange - Class in org.processmining.plugins.stochasticpetrinet.external.interaction

LocationChange(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

log(String) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

log(String) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

log(String, Logger.MessageLevel) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

log(String, Logger.MessageLevel) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

log(Throwable) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

log(Throwable) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

LOG - Static variable in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsConnection

LOG_SIMILARITY - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

LogLocationDelayInducer - Class in org.processmining.plugins.stochasticpetrinet.simulator

This class takes a location unaware log and transforms it into a location aware log.

LogLocationDelayInducer() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.LogLocationDelayInducer

LOGNORMAL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

logProbabilityOfCurrentTrace - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

logResults - Variable in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

LOGSPLINE - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

LogToSensorIntervalConverter - Class in org.processmining.plugins.stochasticpetrinet.external.sensor

Given a rich log with resources and locations for events (and start-and complete transitions), we can generate intervals of where the resources are located.

LogToSensorIntervalConverter() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.sensor.LogToSensorIntervalConverter

longestTrace - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

Stores the longest trace's duration in time units of the model

LoopsLinearizerPlugin - Class in org.processmining.plugins.filter.loops

Goes through all the traces in a log and numbers occurrences of repeated events, such that repetitions get numbered and distinguished.

LoopsLinearizerPlugin() - Constructor for class org.processmining.plugins.filter.loops.LoopsLinearizerPlugin

LoopsNotSupportedException - Exception in org.processmining.plugins.stochasticpetrinet.analyzer

LoopsNotSupportedException() - Constructor for exception org.processmining.plugins.stochasticpetrinet.analyzer.LoopsNotSupportedException

LoopsNotSupportedException(String) - Constructor for exception org.processmining.plugins.stochasticpetrinet.analyzer.LoopsNotSupportedException

lower5Percentile - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Prediction

M

makeChoice(Double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

manifest - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

marking - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

markingBasedSelections - Variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

for each visited marking, collect the number of times a transition was picked.

MarkingBasedSelectionWeightCostFunction - Class in org.processmining.plugins.stochasticpetrinet.enricher.optimizer

MarkingBasedSelectionWeightCostFunction(Map<String, int[]>) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.MarkingBasedSelectionWeightCostFunction

maWeights - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

max(Collection<V>, Aggregate.Function<V, K>, Comparator<V>) - Static method in class org.utils.datastructures.Aggregate

MAX_ITER - Static variable in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

MAX_MOVES_WITHOUT_IMPROVEMENT - Static variable in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

MAX_RUNS - Static variable in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

If we wanted to restrict the number of simulated runs, we could do it here

MAX_SIZE - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.RTimeSeries

The maximum number of historical values to use to train a time series predictor...

mean() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the mean of the samples.

MeanCorrectedReflectionKernelDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

MeanCorrectedReflectionKernelDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

MeanCorrectedReflectionKernelDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

MeanCorrectedReflectionKernelDistribution(double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

meanValue - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

MeasureConfig - Class in org.processmining.plugins.stochasticpetrinet.measures

MeasureConfig() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

MeasureConfig(AbstractionLevel...) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

Creates a configuration with only a given abstraction level

MeasureConfig(AbstractionLevel[], MeasureProvider...) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

MeasureConfig(MeasureProvider...) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

measureConformanceAssumingCorrectAlignment(PluginContext, TransEvClassMapping, PNRepResult, PetrinetGraph, Marking, boolean) - Method in class org.processmining.plugins.alignment.override.PrecisionAligner

Main method to measure precision, assuming valid alignment

measureConformanceAssumingCorrectAlignment(PluginContext, TransEvClassMapping, PNRepResult, Petrinet, Marking, boolean) - Method in class org.processmining.plugins.alignment.override.PrecisionAligner

MeasurePlugin - Class in org.processmining.plugins.stochasticpetrinet.measures

MeasurePlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MeasurePlugin

MeasureProvider<T extends AbstractMeasure<?>> - Interface in org.processmining.plugins.stochasticpetrinet.measures

MemorylessTruncatedWrapper - Class in org.processmining.plugins.stochasticpetrinet.distribution

When truncating an exponential function left (setting a lower constraint), the result is the same exponential function offset by the constraint

MemorylessTruncatedWrapper(RealDistribution) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

MemorylessTruncatedWrapper(RealDistribution, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

method - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

method - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

The logspline method is used of the logspline package of R

METRIC_SCRIPT - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

MICROSECONDS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

MILLISECONDS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

mine(UIPluginContext, XLog) - Method in class org.processmining.plugins.overfit.OverfitChoiceMiner

mine(UIPluginContext, XLog) - Method in class org.processmining.plugins.overfit.OverfitMiner

mine(UIPluginContext, XLog) - Method in class org.processmining.plugins.temporal.TemporalMiner

MINUTES - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

MODEL_SIMILARITY - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

ModelComparisonResult - Class in org.processmining.plugins.stochasticpetrinet.enricher.experiment

ModelComparisonResult() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.experiment.ModelComparisonResult

moveInLog(XLog, M) - Method in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

We assume that the alignment

moveInLog(XLog, PetrinetGraph) - Method in class org.processmining.plugins.stochasticpetrinet.miner.PetrinetLSMiner

moveInModel(M, XLog) - Method in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

we assume that the alignment guides us in changing the graph.

moveInModel(PetrinetGraph, XLog) - Method in class org.processmining.plugins.stochasticpetrinet.miner.PetrinetLSMiner

MultiSetAbstractionLevel - Class in org.processmining.plugins.stochasticpetrinet.measures

Abstracting from permutations, but still keeping count of executions

MultiSetAbstractionLevel() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.MultiSetAbstractionLevel

N

NAIVE_METHOD - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

NaiveMethodTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

The naive predictor for a time series simply returns the latest value as the predictor for the next one.

NaiveMethodTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.NaiveMethodTimeSeries

name - Variable in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

NANOSECONDS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

ndist - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

nets - Variable in class org.processmining.plugins.pnml.simple.PNMLModule

nev - Variable in class org.utils.datastructures.graph.BellmanFordDistance

NO_SERVICE_TIME - org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

NO_WAIT_TIME - org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

noise - Variable in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

NOISE_LEVEL_EXPERIMENT - org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin.ExperimentType

NOISE_LEVELS - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

noiseDistribution - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

NoiseLogFilter - Class in org.processmining.plugins.filter.noise

Introduces noise into an event log by randomly removing items, or adding duplicate events.

NoiseLogFilter() - Constructor for class org.processmining.plugins.filter.noise.NoiseLogFilter

NoiseLogFilter(long) - Constructor for class org.processmining.plugins.filter.noise.NoiseLogFilter

NoiseLogFilter.NoiseLogFilterParameters - Interface in org.processmining.plugins.filter.noise

NoiseLogFilter.NoiseTypes - Enum in org.processmining.plugins.filter.noise

NonConvergenceException - Exception in org.processmining.plugins.stochasticpetrinet.distribution

It might be, that the EM-fitting algorithm used to fit densities to data values might not converge.

NonConvergenceException() - Constructor for exception org.processmining.plugins.stochasticpetrinet.distribution.NonConvergenceException

NonConvergenceException(String) - Constructor for exception org.processmining.plugins.stochasticpetrinet.distribution.NonConvergenceException

NonConvergenceException(String, Throwable) - Constructor for exception org.processmining.plugins.stochasticpetrinet.distribution.NonConvergenceException

NORMAL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

normalize(double[]) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.NormalizedPositiveGradientDescent

NormalizedMarkingCache - Class in org.processmining.models.semantics.petrinet.impl

NormalizedPositiveGradientDescent - Class in org.processmining.plugins.stochasticpetrinet.enricher.optimizer

NormalizedPositiveGradientDescent() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.NormalizedPositiveGradientDescent

NUMBER_OF_BINS - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

Grid over the data

numericalMean - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

numSamples() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the number of samples seen by this estimator.

O

observation - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Observation

the duration of the observed value, e.g.

Observation<H> - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

An individual historical observation on which to base future predictions.

Observation() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Observation

OBSERVED - org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator.ObsType

oneMarking - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

OnlineNormalEstimator - Class in org.processmining.plugins.temporal.miner

An OnlineNormalEstimator provides an object that estimates means, variances, and standard deviations for a stream of numbers presented one at a time.

OnlineNormalEstimator() - Constructor for class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Construct an instance of an online normal estimator that has seen no data.

onlyPositive - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

OptimalMiner<M> - Class in org.processmining.plugins.stochasticpetrinet.miner

OptimalMiner(DistanceFunction, PluginContext, XLog, M) - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

optimize(double[], CostFunction) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.GradientDescent

optimizeWeights() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.WeightsOptimizer

optimizes weights in a gradient descent way.

options(UIPluginContext, PetrinetGraph) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorPlugin

Deprecated.

In most cases, you want to use real and mature Petri net simulators (e.g., CPN Tools) instead!

org.processmining.models.graphbased.directed.petrinet - package org.processmining.models.graphbased.directed.petrinet

org.processmining.models.graphbased.directed.petrinet.elements - package org.processmining.models.graphbased.directed.petrinet.elements

org.processmining.models.graphbased.directed.petrinet.impl - package org.processmining.models.graphbased.directed.petrinet.impl

org.processmining.models.semantics.petrinet - package org.processmining.models.semantics.petrinet

org.processmining.models.semantics.petrinet.impl - package org.processmining.models.semantics.petrinet.impl

org.processmining.models.semantics.petrinet.providers - package org.processmining.models.semantics.petrinet.providers

org.processmining.plugins.alignment - package org.processmining.plugins.alignment

org.processmining.plugins.alignment.model - package org.processmining.plugins.alignment.model

org.processmining.plugins.alignment.override - package org.processmining.plugins.alignment.override

org.processmining.plugins.alignment.ui - package org.processmining.plugins.alignment.ui

org.processmining.plugins.filter.context - package org.processmining.plugins.filter.context

org.processmining.plugins.filter.loops - package org.processmining.plugins.filter.loops

org.processmining.plugins.filter.noise - package org.processmining.plugins.filter.noise

org.processmining.plugins.overfit - package org.processmining.plugins.overfit

org.processmining.plugins.pnml - package org.processmining.plugins.pnml

org.processmining.plugins.pnml.exporting - package org.processmining.plugins.pnml.exporting

org.processmining.plugins.pnml.importing - package org.processmining.plugins.pnml.importing

org.processmining.plugins.pnml.simple - package org.processmining.plugins.pnml.simple

org.processmining.plugins.stochasticpetrinet - package org.processmining.plugins.stochasticpetrinet

Stochastic Petri net package for importing / exporting stochastic Petri nets.

org.processmining.plugins.stochasticpetrinet.analyzer - package org.processmining.plugins.stochasticpetrinet.analyzer

org.processmining.plugins.stochasticpetrinet.analyzer.anomaly - package org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

org.processmining.plugins.stochasticpetrinet.analyzer.export - package org.processmining.plugins.stochasticpetrinet.analyzer.export

org.processmining.plugins.stochasticpetrinet.converter - package org.processmining.plugins.stochasticpetrinet.converter

org.processmining.plugins.stochasticpetrinet.discovery - package org.processmining.plugins.stochasticpetrinet.discovery

org.processmining.plugins.stochasticpetrinet.distribution - package org.processmining.plugins.stochasticpetrinet.distribution

org.processmining.plugins.stochasticpetrinet.distribution.numeric - package org.processmining.plugins.stochasticpetrinet.distribution.numeric

org.processmining.plugins.stochasticpetrinet.distribution.timeseries - package org.processmining.plugins.stochasticpetrinet.distribution.timeseries

org.processmining.plugins.stochasticpetrinet.enricher - package org.processmining.plugins.stochasticpetrinet.enricher

org.processmining.plugins.stochasticpetrinet.enricher.experiment - package org.processmining.plugins.stochasticpetrinet.enricher.experiment

org.processmining.plugins.stochasticpetrinet.enricher.optimizer - package org.processmining.plugins.stochasticpetrinet.enricher.optimizer

org.processmining.plugins.stochasticpetrinet.external - package org.processmining.plugins.stochasticpetrinet.external

org.processmining.plugins.stochasticpetrinet.external.anomaly - package org.processmining.plugins.stochasticpetrinet.external.anomaly

org.processmining.plugins.stochasticpetrinet.external.interaction - package org.processmining.plugins.stochasticpetrinet.external.interaction

org.processmining.plugins.stochasticpetrinet.external.sensor - package org.processmining.plugins.stochasticpetrinet.external.sensor

org.processmining.plugins.stochasticpetrinet.generator - package org.processmining.plugins.stochasticpetrinet.generator

org.processmining.plugins.stochasticpetrinet.measures - package org.processmining.plugins.stochasticpetrinet.measures

org.processmining.plugins.stochasticpetrinet.measures.entropy - package org.processmining.plugins.stochasticpetrinet.measures.entropy

org.processmining.plugins.stochasticpetrinet.miner - package org.processmining.plugins.stochasticpetrinet.miner

org.processmining.plugins.stochasticpetrinet.miner.distance - package org.processmining.plugins.stochasticpetrinet.miner.distance

org.processmining.plugins.stochasticpetrinet.prediction - package org.processmining.plugins.stochasticpetrinet.prediction

org.processmining.plugins.stochasticpetrinet.prediction.experiment - package org.processmining.plugins.stochasticpetrinet.prediction.experiment

org.processmining.plugins.stochasticpetrinet.prediction.timeseries - package org.processmining.plugins.stochasticpetrinet.prediction.timeseries

org.processmining.plugins.stochasticpetrinet.simulator - package org.processmining.plugins.stochasticpetrinet.simulator

org.processmining.plugins.stochasticpetrinet.simulator.timeseries - package org.processmining.plugins.stochasticpetrinet.simulator.timeseries

org.processmining.plugins.stochasticpetrinet.ui - package org.processmining.plugins.stochasticpetrinet.ui

org.processmining.plugins.temporal - package org.processmining.plugins.temporal

org.processmining.plugins.temporal.miner - package org.processmining.plugins.temporal.miner

org.processmining.plugins.temporal.model - package org.processmining.plugins.temporal.model

org.processmining.plugins.temporal.ui - package org.processmining.plugins.temporal.ui

org.utils.datastructures - package org.utils.datastructures

org.utils.datastructures.graph - package org.utils.datastructures.graph

org.utils.datastructures.measure - package org.utils.datastructures.measure

origLog - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

origModel - Variable in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

Outcome - Class in org.processmining.plugins.stochasticpetrinet.measures.entropy

The outcome of an abstraction of a trace

Outcome(int...) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.Outcome

Outcome(XTrace, AbstractionLevel, XEventClasses, Map<XEventClass, Integer>) - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.entropy.Outcome

OutlierVisualizer - Class in org.processmining.plugins.stochasticpetrinet.ui

OutlierVisualizer() - Constructor for class org.processmining.plugins.stochasticpetrinet.ui.OutlierVisualizer

outputCorrelationMatrix() - Method in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

OverfitChoiceMiner - Class in org.processmining.plugins.overfit

Assumes the log to have dedicated start and end events embracing each trace.

OverfitChoiceMiner(double) - Constructor for class org.processmining.plugins.overfit.OverfitChoiceMiner

OverfitMiner - Class in org.processmining.plugins.overfit

OverfitMiner() - Constructor for class org.processmining.plugins.overfit.OverfitMiner

OverfitMinerPlugin - Class in org.processmining.plugins.overfit

OverfitMinerPlugin() - Constructor for class org.processmining.plugins.overfit.OverfitMinerPlugin

P

pack() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

paint(Graphics) - Method in class org.processmining.plugins.alignment.ui.TimeSeriesPanel

paint(Graphics) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization.IntervalVisualizer

paint(Graphics) - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

PARAMETER_LABEL - Static variable in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

PARAMETER_LABEL - Static variable in class org.processmining.plugins.alignment.model.CaseTimeSeries

PARAMETER_LABEL - Static variable in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsList

PARAMETER_LABEL - Static variable in class org.processmining.plugins.stochasticpetrinet.external.sensor.SortedSensorIntervals

PARAMETER_LABEL - Static variable in class org.processmining.plugins.temporal.model.TemporalModel

parentLocation - Variable in class org.processmining.plugins.stochasticpetrinet.external.Location

parents - Variable in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

payload - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Observation

additional information

peek() - Method in class org.utils.datastructures.LimitedQueue

Takes a peek at the element, which is the oldest one in the queue without removing it.

PerformanceEnricher - Class in org.processmining.plugins.stochasticpetrinet.enricher

PerformanceEnricher() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

PerformanceEnricherConfig - Class in org.processmining.plugins.stochasticpetrinet.enricher

Configuration to be used for the net to be mined.

PerformanceEnricherConfig(StochasticNet.DistributionType, StochasticNet.TimeUnit, StochasticNet.ExecutionPolicy, File) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

PerformanceEnricherConfig(StochasticNet.DistributionType, StochasticNet.TimeUnit, StochasticNet.ExecutionPolicy, File, boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

PerformanceEnricherExperimentPlugin - Class in org.processmining.plugins.stochasticpetrinet.enricher.experiment

Performs a round-trip: model -> log -> model 1.

PerformanceEnricherExperimentPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

PerformanceEnricherExperimentPlugin.ExperimentType - Enum in org.processmining.plugins.stochasticpetrinet.enricher.experiment

PerformanceEnricherExperimentResult - Class in org.processmining.plugins.stochasticpetrinet.enricher.experiment

PerformanceEnricherExperimentResult() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentResult

PerformanceEnricherPlugin - Class in org.processmining.plugins.stochasticpetrinet.enricher

PerformanceEnricherPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherPlugin

PerformanceVisualization - Class in org.processmining.plugins.stochasticpetrinet.ui

PerformanceVisualization() - Constructor for class org.processmining.plugins.stochasticpetrinet.ui.PerformanceVisualization

performExperiment(UIPluginContext, StochasticNet, Marking, PerformanceEnricherExperimentPlugin.ExperimentType) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

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.

PerformingResource - Class in org.processmining.plugins.stochasticpetrinet.external

PerformingResource() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.PerformingResource

performSearch() - Method in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

performSearch() - Method in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

Tries to find a log-model pair that is best in terms of a score

Person - Class in org.processmining.plugins.stochasticpetrinet.external

Person(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Person

Person(String, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Person

PetrinetLSMiner - Class in org.processmining.plugins.stochasticpetrinet.miner

Created by andreas on 3/22/17.

PetrinetLSMiner(DistanceFunction, PluginContext, XLog, PetrinetGraph) - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.PetrinetLSMiner

PetrinetModelAllocations - Class in org.processmining.plugins.stochasticpetrinet.external

PetrinetModelAllocations(Petrinet) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.PetrinetModelAllocations

PetrinetWithMapping - Class in org.processmining.plugins.stochasticpetrinet.external

PetrinetWithMapping(PetrinetGraph) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

pickTransition(Semantics<Marking, Transition>, Collection<Transition>, Map<Transition, Long>, LimitedTreeMap<Integer, Map<Transition, RealDistribution>>, PetrinetGraph, PNSimulatorConfig, long, long, boolean, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

pickTransitionAccordingToWeights(Collection<Transition>, Date, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

pickTransitionAccordingToWeights(Collection<Transition>, Date, Semantics<Marking, Transition>, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

PLACE_CASE_PREFIX - Static variable in class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

placePositionInArray - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

places - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

Plot - Class in org.processmining.plugins.stochasticpetrinet.ui

Plot to display the probability functions.

Plot(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.ui.Plot

PlotPanelFreeChart - Class in org.processmining.plugins.stochasticpetrinet.ui

PlotPanelFreeChart() - Constructor for class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

PlotPanelFreeChart.PointOfInterest - Class in org.processmining.plugins.stochasticpetrinet.ui

plugin(UIPluginContext, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

PNMLArc - Class in org.processmining.plugins.pnml.simple

PNMLArc() - Constructor for class org.processmining.plugins.pnml.simple.PNMLArc

PNMLDimension - Class in org.processmining.plugins.pnml.simple

PNMLDimension() - Constructor for class org.processmining.plugins.pnml.simple.PNMLDimension

PnmlExportStochasticNet - Class in org.processmining.plugins.pnml.exporting

PnmlExportStochasticNet() - Constructor for class org.processmining.plugins.pnml.exporting.PnmlExportStochasticNet

PNMLFill - Class in org.processmining.plugins.pnml.simple

PNMLFill() - Constructor for class org.processmining.plugins.pnml.simple.PNMLFill

PNMLFinalMarkings - Class in org.processmining.plugins.pnml.simple

PNMLFinalMarkings() - Constructor for class org.processmining.plugins.pnml.simple.PNMLFinalMarkings

PNMLGraphics - Class in org.processmining.plugins.pnml.simple

PNMLGraphics() - Constructor for class org.processmining.plugins.pnml.simple.PNMLGraphics

PnmlImportStochasticNet - Class in org.processmining.plugins.pnml.importing

PnmlImportStochasticNet() - Constructor for class org.processmining.plugins.pnml.importing.PnmlImportStochasticNet

PNMLMarking - Class in org.processmining.plugins.pnml.simple

PNMLMarking() - Constructor for class org.processmining.plugins.pnml.simple.PNMLMarking

PNMLModule - Class in org.processmining.plugins.pnml.simple

PNMLModule() - Constructor for class org.processmining.plugins.pnml.simple.PNMLModule

PNMLName - Class in org.processmining.plugins.pnml.simple

PNMLName() - Constructor for class org.processmining.plugins.pnml.simple.PNMLName

PNMLName(String) - Constructor for class org.processmining.plugins.pnml.simple.PNMLName

PNMLNet - Class in org.processmining.plugins.pnml.simple

PNMLNet() - Constructor for class org.processmining.plugins.pnml.simple.PNMLNet

PNMLPage - Class in org.processmining.plugins.pnml.simple

PNMLPage() - Constructor for class org.processmining.plugins.pnml.simple.PNMLPage

PNMLParameter - Class in org.processmining.plugins.pnml

The default way of Prom to import PNML files is to scale them by a factor of 2.0 (see PnmlPosition.SCALE) We do not want to change this, so that we are compatible with importing and exporting PNML files

PNMLParameter() - Constructor for class org.processmining.plugins.pnml.PNMLParameter

PNMLPlace - Class in org.processmining.plugins.pnml.simple

PNMLPlace() - Constructor for class org.processmining.plugins.pnml.simple.PNMLPlace

PNMLPlaceRef - Class in org.processmining.plugins.pnml.simple

PNMLPlaceRef() - Constructor for class org.processmining.plugins.pnml.simple.PNMLPlaceRef

PNMLPoint - Class in org.processmining.plugins.pnml.simple

PNMLPoint() - Constructor for class org.processmining.plugins.pnml.simple.PNMLPoint

PNMLPoint(double, double) - Constructor for class org.processmining.plugins.pnml.simple.PNMLPoint

PNMLRoot - Class in org.processmining.plugins.pnml.simple

PNMLRoot() - Constructor for class org.processmining.plugins.pnml.simple.PNMLRoot

PNMLText - Class in org.processmining.plugins.pnml.simple

PNMLText() - Constructor for class org.processmining.plugins.pnml.simple.PNMLText

PNMLText(String) - Constructor for class org.processmining.plugins.pnml.simple.PNMLText

PNMLToolSpecific - Class in org.processmining.plugins.pnml.simple

PNMLToolSpecific() - Constructor for class org.processmining.plugins.pnml.simple.PNMLToolSpecific

PNMLTransition - Class in org.processmining.plugins.pnml.simple

PNMLTransition() - Constructor for class org.processmining.plugins.pnml.simple.PNMLTransition

PNSimulator - Class in org.processmining.plugins.stochasticpetrinet.simulator

Very plain simulator only used for evaluation of the evaluation of the mining of stochastic Petri nets and the repair-log plug-in.

PNSimulator() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

PNSimulatorConfig - Class in org.processmining.plugins.stochasticpetrinet.simulator

Configuration parameters for the simple simulation of (stochastic) Petri Nets.

PNSimulatorConfig() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit, long) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit, long, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit, long, double, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit, long, double, int, StochasticNet.ExecutionPolicy) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfig(long, StochasticNet.TimeUnit, long, double, int, StochasticNet.ExecutionPolicy, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

PNSimulatorConfigUI - Class in org.processmining.plugins.stochasticpetrinet.simulator

A configuration window containing properties for the configuration of the simple simulator PNSimulator.

PNSimulatorConfigUI(PetrinetGraph) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfigUI

PNSimulatorPlugin - Class in org.processmining.plugins.stochasticpetrinet.simulator

Deprecated.

Use CPN Tools or TimeNET instead for simulation of Petri Nets

PNSimulatorPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorPlugin

Deprecated.

PNTimeSeriesSimulator - Class in org.processmining.plugins.stochasticpetrinet.simulator

A stochastic Petri net simulator that replaces each timed transition's distribution with a time series predictor.

PNTimeSeriesSimulator(TimeSeriesConfiguration) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

PNUnfoldedSimulator - Class in org.processmining.plugins.stochasticpetrinet.simulator

Idea: Use one unfolded model for multiple traces.

PNUnfoldedSimulator() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

PNUnroller - Class in org.processmining.plugins.stochasticpetrinet.analyzer

PNUnroller(XEventClassifier) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

PointOfInterest() - Constructor for class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

POINTS_TO_DRAW_LINE - Static variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

PoissonAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

PoissonAllocation(Collection<Allocatable>, double, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.PoissonAllocation

Creates an allocation between certain resources with a simple rule: the probability to pick the second one is dropRate times the probability of the first one, and so on.

poll() - Method in class org.utils.datastructures.LimitedQueue

Removes the oldest element in the list (FIFO)

postProcessWeights(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.GradientDescent

can be overwritten by sub-classes for normalization purposes

postProcessWeights(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.NormalizedPositiveGradientDescent

Renormalizes weights, such that their average is 1 and ensures they are all positive.

precision - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

The precision parameter determines the interval size for kernels for improved efficiency.

PRECISION - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

PRECISION_MEASURE - Static variable in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

PRECISION_TREE - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

PRECISION1 - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

PrecisionAligner - Class in org.processmining.plugins.alignment.override

PrecisionAligner() - Constructor for class org.processmining.plugins.alignment.override.PrecisionAligner

predict(int, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

Performs a forecast based on the current observations h steps ahead.

predict(UIPluginContext, Petrinet, XLog) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

predict(UIPluginContext, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

predict(UIPluginContext, StochasticNet, XTrace, Date) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.TimePredictorPlugin

predict(PluginContext, StochasticNet, StochasticNet, TimeTransitionSystemAnnotation[], XLog, PredictionExperimentConfig, double) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

predict(StochasticNet, XTrace, Date, boolean, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

predict(StochasticNet, XTrace, Date, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

predict(StochasticNet, XTrace, Date, Marking, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.AbstractTimePredictor

Does not care about final markings -> simulates net until no transitions are enabled any more...

prediction - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Prediction

Prediction<T> - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

Prediction() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Prediction

Prediction(T, T, T) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Prediction

PredictionData - Class in org.processmining.plugins.stochasticpetrinet.prediction.experiment

PredictionData(int, Date, Date, Date, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

PredictionExperimentConfig - Class in org.processmining.plugins.stochasticpetrinet.prediction.experiment

PredictionExperimentConfig() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

PredictionExperimentPlugin - Class in org.processmining.plugins.stochasticpetrinet.prediction.experiment

PredictionExperimentPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

PredictionExperimentResult - Class in org.processmining.plugins.stochasticpetrinet.prediction.experiment

PredictionExperimentResult() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentResult

predictWithConfig(PluginContext, Petrinet, XLog, PredictionExperimentConfig) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentPlugin

Perform 10-fold cross validation with the log!

PreprocessLogFilter - Class in org.processmining.plugins.filter.context

Created by andreas on 2/15/17.

PreprocessLogFilter() - Constructor for class org.processmining.plugins.filter.context.PreprocessLogFilter

printDistribution(RealDistribution) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

priority - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

The priority group

PRIORITY - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

ProbabilisticAlignmentPlugin - Class in org.processmining.plugins.alignment

ProbabilisticAlignmentPlugin() - Constructor for class org.processmining.plugins.alignment.ProbabilisticAlignmentPlugin

ProbabilisticAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

ProbabilisticAllocation(Set<Allocatable>, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.ProbabilisticAllocation

probability - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

probability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ConstrainedHistogramDistribution

probability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

Should use density, as P(X=x) is zero for real-valued distributions

probability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

probability(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

PROM - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

provideNormal(PluginContext) - Method in class org.processmining.models.semantics.petrinet.providers.StochasticNetSemanticsProvider

PT_NET_CLASS - Static variable in class org.processmining.plugins.pnml.simple.PNMLNet

put(K, V) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeMap

put(K, V) - Method in class org.utils.datastructures.LimitedTreeMap

putAll(Map<? extends K, ? extends V>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.LimitedTreeMap

putAll(Map<? extends K, ? extends V>) - Method in class org.utils.datastructures.LimitedTreeMap

Q

QualityCriterion - Enum in org.processmining.plugins.stochasticpetrinet.miner

R

RAbstractDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

RAbstractDistribution(RandomGenerator) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RAbstractDistribution

RACE_AGE_MEMORY - org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

RACE_ENABLING_MEMORY - org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

RACE_RESAMPLING - org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

random - Variable in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

random - Variable in class org.processmining.plugins.filter.noise.NoiseLogFilter

random - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

randomlyPermuteOne() - Method in class org.processmining.plugins.temporal.miner.TemporalRelations

RCensoredLogSplineDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

Wraps the logspline density estimation for data that is randomly right-censored.

RCensoredLogSplineDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

Deprecated.

Might cause problems, when integrating the function, as no effective upper bound is given.

RCensoredLogSplineDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RCensoredLogSplineDistribution

Record - Class in org.processmining.plugins.stochasticpetrinet.external.interaction

Record(String, long, long, String, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

Record(String, long, long, String, String, boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

reduceToStructure() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

reDuplicateEvents(XLog) - Static method in class org.processmining.plugins.filter.context.PreprocessLogFilter

RejectionWrapper - Class in org.processmining.plugins.stochasticpetrinet.distribution

A wrapper around a distribution that cuts off a part below a certain threshold RejectionWrapper.constraint and rescales the rest of the distribution to become a valid one again.

RejectionWrapper(RealDistribution) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

RejectionWrapper(RealDistribution, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

RELATIVE_DURATION - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

ReliableInvisibleTransitionPerfCounter - Class in org.processmining.plugins.stochasticpetrinet.enricher

This class behaves as the ReliablePerfCounter class, but allows invisible transitions in the model and assumes that these do not take time.

ReliableInvisibleTransitionPerfCounter(Long) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.ReliableInvisibleTransitionPerfCounter

REMOVE_EVENTS - org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseTypes

removeRole(Role) - Method in class org.processmining.plugins.stochasticpetrinet.external.Resource

removeUnderScores(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

renameLog(XLog, StochasticNetUtils.Renamer) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

renameUnderscores(XLog) - Static method in class org.processmining.plugins.filter.context.PreprocessLogFilter

rEngine - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.RTimeSeries

reorderByTime(XLog) - Static method in class org.processmining.plugins.filter.context.PreprocessLogFilter

REPLACE_WITH_LAST_OBSERVATION - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.MissingDataHandling

REPLACE_WITH_MEAN - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.MissingDataHandling

replaceUnderscores(XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

replayLog(PluginContext, PetrinetGraph, XLog, boolean, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Replays a log on a model based on selected parameters.

replayLog(PluginContext, PetrinetGraph, XLog, PNManifestReplayerParameter, boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

replayLogWithMapping(XLog, TransEvClassMapping, Petrinet, Marking, Marking, XEventClassifier) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

ReplayStep - Class in org.processmining.plugins.stochasticpetrinet.analyzer

A Replay Step with the duration and probabilistic information like density p(A=a | Model) according to the probabilistic Model used in replay.

ReplayStep(TimedTransition, double, double, Set<ReplayStep>) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

ReplayStepDensityFunction - Class in org.processmining.plugins.stochasticpetrinet.distribution.numeric

ReplayStepDensityFunction(ReplayStep) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.numeric.ReplayStepDensityFunction

replayTrace(XLog, TransEvClassMapping, Petrinet, Marking, Marking, XEventClassifier) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

replayTraceUnrolledPN(PetrinetGraph, XLog, XEventClasses) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

REQUIRED_LIBRARIES - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.RProvider

reseedRandomGenerator(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

reseedRandomGenerator(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedWrapper

resetTo(List<Observation<H>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

resets the current observations to the passed observations (useful for initialization)

Resource - Class in org.processmining.plugins.stochasticpetrinet.external

Resource(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Resource

RESOURCE - org.processmining.plugins.stochasticpetrinet.external.Allocation.AllocType

RESOURCE_SEPARATOR - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

REVERSE_SEQUENCE - org.processmining.plugins.temporal.miner.TemporalRelation

RGaussianKernelDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

RGaussianKernelDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RGaussianKernelDistribution

RLogSplineDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

Logspline density fitting to data using the logspline package in R.

RLogSplineDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

RLogSplineDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

RLogSplineDistribution(double, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

RLogSplineDistribution(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

rName - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

name of the spline in R

Role - Class in org.processmining.plugins.stochasticpetrinet.external

Role(String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Role

Room - Class in org.processmining.plugins.stochasticpetrinet.external

A representation of a room which can be allocated to activities.

Room() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Room

Room(String, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.Room

RProvider - Class in org.processmining.plugins.stochasticpetrinet.distribution

RProvider() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.RProvider

RTimeSeries<H> - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

RTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.RTimeSeries

runLayout() - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

S

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

Simply select one value from the observations at random and sample from it's Gaussian Kernel heap.

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

Perform simple rejection sampling until we find a sample that is above the constraint threshold.

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

sample() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedWrapper

Slice sampling Note that due to floating point arithmetic, too large constraints, i.e.

sample(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.DiracDeltaDistribution

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MemorylessTruncatedWrapper

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

sample(int) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedWrapper

sample(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

sampleDurationForTransition(double, long, TimedTransition, StochasticNet.TimeUnit, LimitedTreeMap<Integer, Map<Transition, RealDistribution>>, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

sampleDurationForTransition(double, long, TimedTransition, StochasticNet.TimeUnit, LimitedTreeMap<Integer, Map<Transition, RealDistribution>>, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNTimeSeriesSimulator

sampler - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedWrapper

sampler to sample from constrained distribution directly

sampleValues - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

All observed values in an array (easier for sampling)

sampleWithConstraint(RealDistribution, String, double) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Samples a value from the distribution

sampleWithConstraint(TimedTransition, double) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Samples a value from the distribution of a timed transition

scale - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

scale - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

scaling function, such that the truncated distribution will integrate to 1

ScheduleDrivenDiscoveryPlugin - Class in org.processmining.plugins.stochasticpetrinet.discovery

ScheduleDrivenDiscoveryPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.discovery.ScheduleDrivenDiscoveryPlugin

searchForBetterLogAndModel() - Method in class org.processmining.plugins.stochasticpetrinet.miner.OptimalMiner

season - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

the seasonality of the data (is there seasonality after 7 days?)

SEASONAL_METHOD - org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

SeasonalNaiveMethodTimeSeries - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

A naive seasonal forecast (forecasts the same value as the one observed in the last season)

SeasonalNaiveMethodTimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.SeasonalNaiveMethodTimeSeries

SECONDS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

selectedNoisePercentageAdd - Variable in class org.processmining.plugins.filter.noise.NoiseLogFilter

selectedNoisePercentageRemove - Variable in class org.processmining.plugins.filter.noise.NoiseLogFilter

SensorInterval - Class in org.processmining.plugins.stochasticpetrinet.external.sensor

SensorInterval(long, long, String, String) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

SensorIntervalVisualization - Class in org.processmining.plugins.stochasticpetrinet.external.sensor

SensorIntervalVisualization() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization

SensorIntervalVisualization.IntervalVisualizer - Class in org.processmining.plugins.stochasticpetrinet.external.sensor

SEPARATOR - Static variable in class org.processmining.plugins.filter.loops.LoopsLinearizerPlugin

SEPARATOR - Static variable in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

SEPARATOR_STRING - Static variable in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

SEQUENCE - org.processmining.plugins.temporal.miner.TemporalRelation

setAbstractionLevel(Collection<AbstractionLevel>) - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

setAbstractionLevel(AbstractionLevel) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

setAbstractionLevel(AbstractionLevel) - Method in interface org.processmining.plugins.stochasticpetrinet.measures.MeasureProvider

Tells the measure provider which abstraction level to use

SetAbstractionLevel - Class in org.processmining.plugins.stochasticpetrinet.measures

Abstracts from sequences and only retains the set of elements in the sequence, disregards permutations and also frequencies.

SetAbstractionLevel() - Constructor for class org.processmining.plugins.stochasticpetrinet.measures.SetAbstractionLevel

setActivity(String) - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

setAggregation(Calendar) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

setAllocatedEntities(Set<Allocatable>) - Method in class org.processmining.plugins.stochasticpetrinet.external.ProbabilisticAllocation

setAllowUnbounded(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

setAnomalyRate(double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

setArcType(PNMLText) - Method in class org.processmining.plugins.pnml.simple.PNMLArc

setAreasPassed(List<String>) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

setArWeights(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

setAssumption(TimeConstraints.TimeAssumption) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints

setCacheEnabled(boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

setCapacity(int) - Method in class org.processmining.plugins.stochasticpetrinet.external.Room

setCaseDuration(Double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

setCaseEndDate(Date) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

setCaseId(int) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

setCaseStartDate(Date) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

setCaseStatistics(CaseStatisticsList) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

setCollectingLoadData(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setColor(String) - Method in class org.processmining.plugins.pnml.simple.PNMLFill

setComputedMeasures(List<AbstractMeasure<? extends Number>>) - Method in class org.processmining.plugins.stochasticpetrinet.measures.ComputedMeasures

setConstraints(TimeConstraints) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setContainsLoops(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setCorrelationMatrixFile(File) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setCountInLog(int) - Method in class org.processmining.plugins.temporal.model.TemporalNode

setCreateDedicatedImmediateStartTransition(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setCurrentState(short[]) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

setCurrentState(short[]) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

setCurrentState(Marking) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

setCurrentState(Marking) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

setCurrentTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

setCurrentTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

setDegreeOfExclusiveChoices(int) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setDegreeOfLoops(int) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setDegreeOfParallelism(int) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setDegreeOfSequences(int) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setDeletionInsertionRatio(double) - Method in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

setDeterministicBoundedStateSpaceExploration(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

setDimension(PNMLPoint) - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

setDistribution(RealDistribution) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setDistributionParameters(double...) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setDistributionParameters(List<Double>) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setDistributionType(StochasticNet.DistributionType) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setDistributionType(StochasticNet.DistributionType) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setDuration(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

setEnabled(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConnectionManager

setEndEvent(XEvent) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

setEndTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

setEventClass(XEventClass) - Method in class org.processmining.plugins.temporal.model.TemporalNode

setEventClassifier(XEventClassifier) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

setExecutionPolicy(StochasticNet.ExecutionPolicy) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

setExecutionPolicy(StochasticNet.ExecutionPolicy) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

Sets the execution policy of the net.

setExecutionPolicy(StochasticNet.ExecutionPolicy) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setExecutionPolicy(StochasticNet.ExecutionPolicy) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setFilePrefix(String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setFill(PNMLFill) - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

setFinalmarkings(List<PNMLMarking>) - Method in class org.processmining.plugins.pnml.simple.PNMLModule

setFinalMarkings(PNMLFinalMarkings) - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

setFirst(K) - Method in class org.utils.datastructures.ComparablePair

setFirst(K) - Method in class org.utils.datastructures.Triple

setFitness(double) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

setFuture(PluginExecutionResult) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

setFuture(PluginExecutionResult) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.FakePluginContext

setGeneralization(double) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

setGraphics(PNMLGraphics) - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

setGraphics(PNMLGraphics) - Method in class org.processmining.plugins.pnml.simple.PNMLName

setGraphics(PNMLGraphics) - Method in class org.processmining.plugins.pnml.simple.PNMLText

setId(int) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Interaction

setId(String) - Method in class org.processmining.plugins.pnml.simple.PNMLArc

setId(String) - Method in class org.processmining.plugins.pnml.simple.PNMLPage

setId(String) - Method in class org.processmining.plugins.pnml.simple.PNMLPlace

setId(String) - Method in class org.processmining.plugins.pnml.simple.PNMLTransition

setIdRef(String) - Method in class org.processmining.plugins.pnml.simple.PNMLPlaceRef

setImmedateTransitionsInvisible(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setImmediate(boolean) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setInitialMarking(PNMLText) - Method in class org.processmining.plugins.pnml.simple.PNMLPlace

setInscription(PNMLText) - Method in class org.processmining.plugins.pnml.simple.PNMLArc

setInternalState(EfficientTimedMarking) - Method in class org.processmining.models.semantics.petrinet.impl.EfficientDiscreteStochasticNetSemanticsImpl

setIntervals(Map<Transition, List<Pair<Double, Double>>>) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.AnomalyIntervals

setJbptNet(PetriNet) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

setKey(String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

setLag(Calendar) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

setLastActivityDuration(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

setLastObservation(Double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

No aggregates used for this class, only predict the last single observation!

setLastTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

setLearnedDistributionType(StochasticNet.DistributionType) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setLearnSPNFromData(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setList(List<Object>) - Method in class org.processmining.plugins.pnml.simple.PNMLPage

setLocationEnabledSimulation(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setLocationGraph(Graph<Location, Double>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setLocationGraph(String[], double[][]) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setLocationKey(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

setLogDistance(double) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

setLogLikelihood(Double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

setLogResults(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.AbstractEntropyCalculator

setMarking(Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

setMarkings(List<PNMLMarking>) - Method in class org.processmining.plugins.pnml.simple.PNMLFinalMarkings

setMaWeights(double[]) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

setMeasureProviders(Collection<MeasureProvider>) - Method in class org.processmining.plugins.stochasticpetrinet.measures.MeasureConfig

setMissingDataHandling(TimeSeriesConfiguration.MissingDataHandling) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

setMissingRatio(double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setModelDistance(double) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

setModule(List<PNMLModule>) - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

setMonitoringIterations(int) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setN(int) - Method in class org.processmining.plugins.stochasticpetrinet.measures.entropy.EntropyCalculatorApproximate

setName(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.Entity

setName(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

setName(String) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setName(String) - Method in class org.processmining.plugins.temporal.model.TemporalNode

setName(PNMLName) - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

setNet(List<PNMLNet>) - Method in class org.processmining.plugins.pnml.simple.PNMLRoot

setNets(List<PNMLNet>) - Method in class org.processmining.plugins.pnml.simple.PNMLModule

setNoise(double) - Method in class org.processmining.plugins.filter.noise.AccurateNoiseFilter

setOffset(PNMLPoint) - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

setOutlierRate(double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

setPage(List<PNMLPage>) - Method in class org.processmining.plugins.pnml.simple.PNMLNet

setParallelismOnlyInParts(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setParameters(NoiseLogFilter.NoiseLogFilterParameters) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

Sets the parameters for this noisy log filter.

setParentLocation(Location) - Method in class org.processmining.plugins.stochasticpetrinet.external.Location

setPercentageAdd(Integer) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

setPercentageRemove(Integer) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

setPlaceMapping(Map<Place, Place>) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

setPlaces(List<PNMLPlaceRef>) - Method in class org.processmining.plugins.pnml.simple.PNMLMarking

setPlots(List<Plot>) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

setPluginDescriptor(PluginDescriptor, int) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

setPointsOfInterest(List<PlotPanelFreeChart.PointOfInterest>) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

setPolicy(StochasticNet.ExecutionPolicy) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setPosition(List<PNMLPoint>) - Method in class org.processmining.plugins.pnml.simple.PNMLGraphics

setPrecision(double) - Method in class org.processmining.plugins.stochasticpetrinet.miner.distance.Distance

setPredictionDates(Date[]) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

setPredictionResults(List<List<PredictionData>>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentResult

setPredictionTimeDate(Date) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionData

setPriority(int) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setProbability(BigDecimal) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

setPromNet(PetrinetGraph) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

setProperties(Map<String, String>) - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

setQuantile(double) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

setRandomSeed(long) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

setRealDuration(String, long) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

setResource(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.LocationChange

setResourceKey(String) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

setResourceSpeedFactors(Map<String, Double>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setResourceTimeAsynchronous(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setResultFileName(String) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setSamples(List<TemporalSample>) - Method in class org.processmining.plugins.temporal.model.TemporalConnection

setScriptsToLoad(List<TimeSeriesConfiguration.AvailableScripts>) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

setSecond(L) - Method in class org.utils.datastructures.Triple

setSecond(V) - Method in class org.utils.datastructures.ComparablePair

setSeed(long) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

setSeed(long) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

setSimulatedTraces(int) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setSimulateTraceless(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulatorConfig

setSource(String) - Method in class org.processmining.plugins.pnml.simple.PNMLArc

setStartEvent(XEvent) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

setStartTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

setStartTime(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

setStats(DescriptiveStatistics) - Method in class org.processmining.plugins.temporal.model.TemporalConnection

setTarget(String) - Method in class org.processmining.plugins.pnml.simple.PNMLArc

setText(String) - Method in class org.processmining.plugins.pnml.simple.PNMLText

setThird(M) - Method in class org.utils.datastructures.Triple

setTime(Long) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

setTimeSeriesType(TimeSeriesConfiguration.TimeSeriesType) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

setTimeUnit(StochasticNet.TimeUnit) - Method in class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

setTimeUnit(StochasticNet.TimeUnit) - Method in interface org.processmining.models.graphbased.directed.petrinet.StochasticNet

Sets the time unit of the net

setTimeUnit(StochasticNet.TimeUnit) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setTimeUnitFactor(StochasticNet.TimeUnit) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setTokens(int) - Method in class org.processmining.plugins.pnml.simple.PNMLPlaceRef

setTool(String) - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

setToolspecific(List<PNMLToolSpecific>) - Method in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

setTrace(XTrace) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

setTrainingData(String) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setTrainingData(String) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

setTransitionContraints(Map<Transition, StochasticNet.DistributionType>) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints

setTransitionLocationMapping(Map<Transition, Set<Allocation>>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

setTransitionMapping(Map<Transition, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.external.PetrinetWithMapping

setTransitionSize(int) - Method in class org.processmining.plugins.stochasticpetrinet.generator.GeneratorConfig

setType(String) - Method in class org.processmining.plugins.pnml.simple.PNMLNet

setType(StochasticNet.DistributionType) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setUnit(String) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart

setUnitFactor(StochasticNet.TimeUnit) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherConfig

setUnivariateRealFunctions(Vector<RealDistribution>) - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

setUseOnlyPastTrainingData(boolean) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

setValue(String) - Method in class org.processmining.plugins.pnml.simple.PNMLName

setValue(T) - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractMeasure

setVersion(String) - Method in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

setWeight(double) - Method in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

setWeight(double) - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

Sets the scaling factor for the plot.

setWorkerCount(int) - Method in class org.processmining.plugins.stochasticpetrinet.prediction.experiment.PredictionExperimentConfig

setX(double) - Method in class org.processmining.plugins.pnml.simple.PNMLPoint

setX(int) - Method in class org.processmining.plugins.pnml.simple.PNMLDimension

setY(double) - Method in class org.processmining.plugins.pnml.simple.PNMLPoint

setY(int) - Method in class org.processmining.plugins.pnml.simple.PNMLDimension

shift(long) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

Shifts an activity by a given time (positive or negative value to be added/subtracted from both start and end.

ShiftedDistribution - Class in org.processmining.plugins.stochasticpetrinet.analyzer.anomaly

We shift the distribution downwards so that the outliers are below zero.

ShiftedDistribution(RealDistribution, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.ShiftedDistribution

shortName() - Method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

showLabel - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

shuffle(double[]) - Static method in class org.processmining.plugins.stochasticpetrinet.distribution.DistributionUtils

SIM_M_MOFL - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

SIM_M_MSTAR - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

SIM_MSTAR_MOFL - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

SimpleDistanceFunction - Class in org.processmining.plugins.stochasticpetrinet.miner.distance

SimpleDistanceFunction() - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.distance.SimpleDistanceFunction

SimpleHeuristicFilter - Class in org.processmining.plugins.filter.context

SimpleHeuristicFilter() - Constructor for class org.processmining.plugins.filter.context.SimpleHeuristicFilter

SimpleHistogramDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution

SimpleHistogramDistribution() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

SimpleHistogramDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

SIMPLICITY - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

SIMPLICITY_TREE - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

simulate(UIPluginContext, PetrinetGraph, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Asks the user to specify configuration parameters for the simulation.

simulate(UIPluginContext, PetrinetGraph, Semantics<Marking, Transition>, PNSimulatorConfig, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Performs a simulation according to a given configuration PNSimulatorConfig

simulate(UIPluginContext, PetrinetGraph, Semantics<Marking, Transition>, PNSimulatorConfig, Marking, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Performs a simulation according to a given configuration PNSimulatorConfig

simulate(UIPluginContext, PetrinetGraph, Semantics<Marking, Transition>, PNSimulatorConfig, Marking, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

Performs a simulation according to a given configuration PNSimulatorConfig

SIMULATED_LOG_PROBABILITY - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

simulateOneTrace(PetrinetGraph, Semantics<Marking, Transition>, PNSimulatorConfig, Marking, long, long, int, boolean, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNUnfoldedSimulator

Performs a simple simulation of the Petri net (mostly used for StochasticNets, but can also simulate a PN without stochastic annotations) See #simulateTraceEnd(PetrinetGraph, Semantics, PNSimulatorConfig, Marking, Date, int, Map, boolean) for an implementation that does not generate costly XIDs required for XES log files.

simulateOneTrace(PetrinetGraph, Semantics<Marking, Transition>, PNSimulatorConfig, Marking, long, long, long, boolean, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Performs a simple simulation of the Petri net (mostly used for StochasticNets, but can also simulate a PN without stochastic annotations)

simulateRealEntities(StochasticNet, WorldConfiguration) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.AdvancedSimulator

Simulates real entities performing a process.

SINUSOIDAL_SERIES - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

SinusoidalSeries - Class in org.processmining.plugins.stochasticpetrinet.distribution.timeseries

SinusoidalSeries(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.SinusoidalSeries

SinusoidalSeries(double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.SinusoidalSeries

SinusoidalSeries(double, double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.SinusoidalSeries

SinusoidalSeries(double, double, double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.SinusoidalSeries

A sinusoidal sequence that obviously has seasonal behavior

size() - Method in class org.processmining.plugins.stochasticpetrinet.ui.Plot

SliceSampler - Class in org.processmining.plugins.stochasticpetrinet.distribution

SliceSampler(UnivariateFunction, double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

SliceSampler(UnivariateFunction, double, double, int) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

SliceSampler(RealDistribution, double, double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.SliceSampler

SortedPair<K extends java.lang.Comparable<K>,V> - Class in org.utils.datastructures

SortedPair(K, V) - Constructor for class org.utils.datastructures.SortedPair

SortedSensorIntervals - Class in org.processmining.plugins.stochasticpetrinet.external.sensor

SortedSensorIntervals() - Constructor for class org.processmining.plugins.stochasticpetrinet.external.sensor.SortedSensorIntervals

SortedSetComparator<E extends java.lang.Comparable<E>> - Class in org.utils.datastructures

SortedSetComparator() - Constructor for class org.utils.datastructures.SortedSetComparator

splinesSupported() - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Checks, whether the R-engine is accessible over JRI

splitTracesBasedOnRatio(XLog, double) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

standardDeviation() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the maximum likelihood estimate of the standard deviation of the samples.

standardDeviationUnbiased() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the unbiased estimate of the standard deviation of the samples.

START_CLASS - Static variable in class org.processmining.plugins.temporal.model.TemporalModel

StatefulTimeseriesDistribution - Class in org.processmining.plugins.stochasticpetrinet.distribution.timeseries

This is a "stateful" distribution that knows it's current time.

StatefulTimeseriesDistribution(double) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

StatefulTimeseriesDistribution(RealDistribution) - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.StatefulTimeseriesDistribution

stats - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.AverageMethodTimeSeries

STOCHASTIC_ANNOTATION - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

STOCHASTIC_ANNOTATION_VERSION - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

STOCHASTIC_NET - Static variable in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsConnection

StochasticManifestCollector - Class in org.processmining.plugins.stochasticpetrinet.enricher

Simple analyzer for a manifest based replay.

StochasticManifestCollector(ManifestEvClassPattern, PerformanceEnricherConfig) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

StochasticMinerPlugin - Class in org.processmining.plugins.stochasticpetrinet.miner

Not yet implemented.

StochasticMinerPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.miner.StochasticMinerPlugin

StochasticNet - Interface in org.processmining.models.graphbased.directed.petrinet

"stochastic Petri net" = Petri net with annotated stochastic information.

StochasticNet.DistributionType - Enum in org.processmining.models.graphbased.directed.petrinet

Supported parametric and non-parametric distributions

StochasticNet.ExecutionPolicy - Enum in org.processmining.models.graphbased.directed.petrinet

Execution policy of the network.

StochasticNet.TimeUnit - Enum in org.processmining.models.graphbased.directed.petrinet

Enumeration specifying in which time unit the parameters of the net are given.

StochasticNetDeserializer - Class in org.processmining.plugins.pnml.importing

StochasticNetDeserializer() - Constructor for class org.processmining.plugins.pnml.importing.StochasticNetDeserializer

StochasticNetDeserializer.StochasticNetVisitor - Class in org.processmining.plugins.pnml.importing

StochasticNetImpl - Class in org.processmining.models.graphbased.directed.petrinet.impl

StochasticNetImpl(String) - Constructor for class org.processmining.models.graphbased.directed.petrinet.impl.StochasticNetImpl

StochasticNetSemantics - Interface in org.processmining.models.semantics.petrinet

StochasticNetSemanticsImpl - Class in org.processmining.models.semantics.petrinet.impl

StochasticNetSemanticsImpl() - Constructor for class org.processmining.models.semantics.petrinet.impl.StochasticNetSemanticsImpl

StochasticNetSemanticsProvider - Class in org.processmining.models.semantics.petrinet.providers

StochasticNetSemanticsProvider() - Constructor for class org.processmining.models.semantics.petrinet.providers.StochasticNetSemanticsProvider

StochasticNetToPNMLConverter - Class in org.processmining.plugins.pnml.exporting

StochasticNetToPNMLConverter() - Constructor for class org.processmining.plugins.pnml.exporting.StochasticNetToPNMLConverter

StochasticNetUtils - Class in org.processmining.plugins.stochasticpetrinet

StochasticNetUtils() - Constructor for class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

StochasticNetUtils.DummyConnectionManager - Class in org.processmining.plugins.stochasticpetrinet

StochasticNetUtils.DummyConsolePluginContext - Class in org.processmining.plugins.stochasticpetrinet

StochasticNetUtils.FakePluginContext - Class in org.processmining.plugins.stochasticpetrinet

Created by andreas on 25/01/2017.

StochasticNetUtils.Renamer - Interface in org.processmining.plugins.stochasticpetrinet

StochasticNetVisitor() - Constructor for class org.processmining.plugins.pnml.importing.StochasticNetDeserializer.StochasticNetVisitor

stripStochasticInformation(PluginContext, StochasticNet) - Static method in class org.processmining.plugins.stochasticpetrinet.converter.ConvertDistributionsPlugin

STUDENT_T - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

sum(Collection<V>, Aggregate.Function<V, K>, Aggregate.Function<V, Integer>) - Static method in class org.utils.datastructures.Aggregate

SUPPORTED_CONVERSION_TYPES - Static variable in class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

swapTransitionsRandomly(List<Transition>, double) - Static method in class org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator

SYSTEM_LOAD - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

T

TemporalAnalyzer - Class in org.processmining.plugins.temporal.miner

TemporalAnalyzer() - Constructor for class org.processmining.plugins.temporal.miner.TemporalAnalyzer

TemporalConnection - Class in org.processmining.plugins.temporal.model

TemporalConnection(TemporalNode, TemporalNode) - Constructor for class org.processmining.plugins.temporal.model.TemporalConnection

temporallyContains(Record) - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

TemporalMiner - Class in org.processmining.plugins.temporal

TemporalMiner() - Constructor for class org.processmining.plugins.temporal.TemporalMiner

TemporalMinerPlugin - Class in org.processmining.plugins.temporal

TemporalMinerPlugin() - Constructor for class org.processmining.plugins.temporal.TemporalMinerPlugin

TemporalModel - Class in org.processmining.plugins.temporal.model

TemporalModel(StochasticNet.TimeUnit) - Constructor for class org.processmining.plugins.temporal.model.TemporalModel

TemporalModelPanel - Class in org.processmining.plugins.temporal.ui

TemporalModelPanel(TemporalModel) - Constructor for class org.processmining.plugins.temporal.ui.TemporalModelPanel

TemporalModelVizualizer - Class in org.processmining.plugins.temporal.ui

TemporalModelVizualizer() - Constructor for class org.processmining.plugins.temporal.ui.TemporalModelVizualizer

TemporalNode - Class in org.processmining.plugins.temporal.model

TemporalNode(String, XEventClass) - Constructor for class org.processmining.plugins.temporal.model.TemporalNode

TemporalNode(String, XEventClass, int) - Constructor for class org.processmining.plugins.temporal.model.TemporalNode

TemporalProfile - Class in org.processmining.plugins.temporal.miner

TemporalProfile(XLog) - Constructor for class org.processmining.plugins.temporal.miner.TemporalProfile

TemporalProfileOptimizer - Class in org.processmining.plugins.temporal.miner

TemporalProfileOptimizer() - Constructor for class org.processmining.plugins.temporal.miner.TemporalProfileOptimizer

TemporalRelation - Enum in org.processmining.plugins.temporal.miner

TemporalRelations - Class in org.processmining.plugins.temporal.miner

TemporalRelations(int) - Constructor for class org.processmining.plugins.temporal.miner.TemporalRelations

TemporalRelations(int, Table<Integer, Integer, TemporalRelation>) - Constructor for class org.processmining.plugins.temporal.miner.TemporalRelations

TemporalSample - Class in org.processmining.plugins.temporal.model

TemporalSample(double, int) - Constructor for class org.processmining.plugins.temporal.model.TemporalSample

TemporalTraces - Class in org.processmining.plugins.temporal.miner

TemporalTraces() - Constructor for class org.processmining.plugins.temporal.miner.TemporalTraces

threshold - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianReflectionKernelDistribution

The lower threshold where reflection occurs

THRESHOLD_FOR_DETERMINISTIC_VALUES - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

Allow up to 5 percent of noise, before judging a transition as non-deterministic time

time - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

TIME_ATTRIBUTE_KEY - Static variable in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

TIME_TIMESTAMP - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

TIME_UNIT - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

TimeConstraints - Class in org.processmining.plugins.stochasticpetrinet.enricher

TimeConstraints() - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints

TimeConstraints.TimeAssumption - Enum in org.processmining.plugins.stochasticpetrinet.enricher

TimeConstraintsPanel - Class in org.processmining.plugins.stochasticpetrinet.enricher

TimeConstraintsPanel(String, PetrinetGraph) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraintsPanel

TimedTransition - Class in org.processmining.models.graphbased.directed.petrinet.elements

A timed transition to be used in Stochastic Petri Nets with arbitrary distributions

TimedTransition(String, AbstractDirectedGraph<PetrinetNode, PetrinetEdge<? extends PetrinetNode, ? extends PetrinetNode>>) - Constructor for class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

By default generate a timed transition with exponential firing rate lambda=1

TimedTransition(String, AbstractDirectedGraph<PetrinetNode, PetrinetEdge<? extends PetrinetNode, ? extends PetrinetNode>>, ExpandableSubNet, double, int, StochasticNet.DistributionType, double...) - Constructor for class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

TimePredictor - Class in org.processmining.plugins.stochasticpetrinet.prediction

TimePredictor(boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.TimePredictor

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

TimePredictorPlugin - Class in org.processmining.plugins.stochasticpetrinet.prediction

This is a simple time predictor based on a stochastic model.

TimePredictorPlugin() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.TimePredictorPlugin

TimeSeries<H> - Class in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

A time series of values (might be durations, might be rates, might be anything)

TimeSeries() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

TimeSeriesAlignmentPlugin - Class in org.processmining.plugins.alignment

TimeSeriesAlignmentPlugin() - Constructor for class org.processmining.plugins.alignment.TimeSeriesAlignmentPlugin

TimeSeriesComparer - Class in org.processmining.plugins.alignment

TimeSeriesComparer() - Constructor for class org.processmining.plugins.alignment.TimeSeriesComparer

TimeSeriesConfiguration - Class in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

TimeSeriesConfiguration() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration

TimeSeriesConfiguration.AvailableScripts - Enum in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

TimeSeriesConfiguration.MissingDataHandling - Enum in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

Different strategies to try for handling missing data (replacement almost always introduces a bias (mean replacement underestimates the variance) It might be better to keep them as missing values and let R figure out how to deal with them...

TimeSeriesConfiguration.TimeSeriesType - Enum in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

TimeSeriesConverter - Class in org.processmining.plugins.alignment

TimeSeriesConverter() - Constructor for class org.processmining.plugins.alignment.TimeSeriesConverter

TimeSeriesPanel - Class in org.processmining.plugins.alignment.ui

TimeSeriesPanel(TimeSeries<? extends Number>) - Constructor for class org.processmining.plugins.alignment.ui.TimeSeriesPanel

TimeseriesPredictor - Class in org.processmining.plugins.stochasticpetrinet.prediction.timeseries

TimeseriesPredictor() - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeseriesPredictor

TimeseriesPredictor(TimeSeriesConfiguration) - Constructor for class org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeseriesPredictor

timestamp - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Observation

time stamp of the occurrence of this observation

TIMESTAMP - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.StochasticManifestCollector

timeStampInjection(UIPluginContext, XLog) - Method in class org.processmining.plugins.filter.noise.NoiseLogFilter

toLoLaFromPetrinet(Petrinet, Marking) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

toLoLaFromPetrinnet(Petrinet) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

tool - Variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

toolspecific - Variable in class org.processmining.plugins.pnml.simple.AbstractPNMLElement

TopologyLayout<V,E> - Class in org.processmining.plugins.stochasticpetrinet.simulator

TopologyLayout(Graph<V, E>) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.TopologyLayout

ToStochasticNet - Class in org.processmining.models.graphbased.directed.petrinet.impl

ToStochasticNet() - Constructor for class org.processmining.models.graphbased.directed.petrinet.impl.ToStochasticNet

toString() - Method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

toString() - Method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

toString() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

toString() - Method in enum org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseTypes

toString() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

toString() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

toString() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.SimpleHistogramDistribution

toString() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Activity

toString() - Method in class org.processmining.plugins.stochasticpetrinet.external.interaction.Record

toString() - Method in class org.processmining.plugins.stochasticpetrinet.external.Person

toString() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorInterval

toString() - Method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SortedSensorIntervals

toString() - Method in class org.processmining.plugins.stochasticpetrinet.measures.AbstractMeasure

toString() - Method in class org.processmining.plugins.stochasticpetrinet.measures.ComputedMeasures

toString() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns a string-based representation of the mean and standard deviation and number of samples for this estimator.

toString() - Method in enum org.processmining.plugins.temporal.miner.TemporalRelation

toString() - Method in class org.processmining.plugins.temporal.miner.TemporalRelations

toString(String) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatistics

trace - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

TRACE_SIZE_EXPERIMENT - org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin.ExperimentType

TRACE_SIZES - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

TRAINING_DATA - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

trainingData - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

Contains the data that was used to train the model (Basically, this is a table with a header to describe the data and each line represents one entry)

trainingDataCache - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

a sorted view on all the training data that was used to train this transition.

transform(UIPluginContext, XLog) - Method in class org.processmining.plugins.overfit.OverfitMinerPlugin

transform(UIPluginContext, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherPlugin

transform(UIPluginContext, XLog) - Method in class org.processmining.plugins.temporal.TemporalMinerPlugin

transform(UIPluginContext, XLog, StochasticNet) - Method in class org.processmining.plugins.alignment.TimeSeriesAlignmentPlugin

transform(UIPluginContext, XLog, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.LikelihoodAnalyzerPlugin

transform(UIPluginContext, PetrinetGraph, XLog) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherPlugin

transform(UIPluginContext, Manifest) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherPlugin

transform(PluginContext, Manifest) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

transform(PluginContext, Manifest, PerformanceEnricherConfig) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricher

transform(PluginContext, Manifest, PerformanceEnricherConfig) - Static method in class org.processmining.plugins.stochasticpetrinet.enricher.PerformanceEnricherPlugin

transition - Variable in class org.processmining.plugins.stochasticpetrinet.analyzer.ReplayStep

TRANSITION_COMPLETE - Static variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

transitionInputs - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

transitionMatrix - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

transitionOutputs - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

transitionPositionInArray - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

transitionRemainingTimes - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Each transition has it's remaining time stored, once it becomes active in a marking.

transitions - Variable in class org.processmining.models.semantics.petrinet.impl.EfficientStochasticNetSemanticsImpl

transitionsContainTimingInfo(Collection<Transition>) - Static method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

TREE_TRACE - org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

Triple<K,L,M> - Class in org.utils.datastructures

Triple(K, L, M) - Constructor for class org.utils.datastructures.Triple

TruncatedDistributionFactory - Class in org.processmining.plugins.stochasticpetrinet.distribution

TruncatedDistributionFactory() - Constructor for class org.processmining.plugins.stochasticpetrinet.distribution.TruncatedDistributionFactory

TruncatedWrapper - Class in org.processmining.plugins.stochasticpetrinet.distribution

A wrapper around a distribution that cuts off a part below a certain threshold RejectionWrapper.constraint and rescales the rest of the distribution to become a valid one again.

tryToFindOrConstructAllObjects(Class<T>, Class<C>, String, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

tryToFindOrConstructFirstNamedObject(Class<T>, String, Class<C>, String, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

tryToFindOrConstructFirstObject(Class<T>, Class<C>, String, Object...) - Method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils.DummyConsolePluginContext

U

UNDEFINED - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

unHandle(double) - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Removes the specified value from the sample set.

UNIFORM - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

UniformAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

UniformAllocation(Set<Allocatable>, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.UniformAllocation

UniformSetAllocation - Class in org.processmining.plugins.stochasticpetrinet.external

UniformSetAllocation(Collection<Set<Allocatable>>, Allocation.AllocType) - Constructor for class org.processmining.plugins.stochasticpetrinet.external.UniformSetAllocation

UNIT_FACTOR - Static variable in class org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin

Use minutes as unit in the model

UNOBSERVED - org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator.ObsType

UNOBSERVED_ARE_IMMEDIATE - org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

unpack() - Method in class org.processmining.models.semantics.petrinet.impl.EfficientTimedMarking

unroll(UIPluginContext, XLog) - Method in class org.processmining.plugins.filter.loops.LoopsLinearizerPlugin

unrollHeadless(PluginContext, XLog) - Method in class org.processmining.plugins.filter.loops.LoopsLinearizerPlugin

unrollPNbasedOnAlignment(AllSyncReplayResult, int, Petrinet, Marking) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

unrolPNbasedOnTrace(XLog, TransEvClassMapping, Petrinet, Marking, Marking, boolean) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.PNUnroller

UNSPECIFIED - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

updateConstraints(TimeConstraints) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraintsPanel

updateDistances(XLog, M) - Method in class org.processmining.plugins.stochasticpetrinet.miner.LocalSearchMiner

Updates the distances with the current log and model

updateKernels() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

updateKernels() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.MeanCorrectedReflectionKernelDistribution

updateLikelihoodCutoffs() - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

updateLogProbability(XTrace, double) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

The log of probability values is always less than or equal to zero.

updateMarkingMoveModel(TIntObjectMap<List<Long>>, short[], int) - Method in class org.processmining.plugins.stochasticpetrinet.enricher.ReliableInvisibleTransitionPerfCounter

This firing is only used for move model only move on model means firing transitions as soon as they are enabled

updateNodePosition(TemporalNode, int, int) - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

updatePositions() - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

Updates all positions of the nodes according to the temporal forces

updateSmoothingParameter() - Method in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

Uses the 'rule of thumb' for the kernel bandwith combined with the more robust quantile based approximation.

updateStatistics(double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.CaseStatisticsAnalyzer

updateTableSelection(int) - Method in class org.processmining.plugins.stochasticpetrinet.ui.OutlierVisualizer

updateTransitionMemoriesAfterFiring(PNSimulatorConfig, Collection<Transition>, Triple<Transition, Long, Double>, long, Collection<Transition>, Semantics<Marking, Transition>) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

upper95Percentile - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.Prediction

upperBound - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

useCache(boolean) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Enables or disables cache of distributions.

useOnlyPastTrainingData - Variable in class org.processmining.plugins.stochasticpetrinet.simulator.PNSimulator

Needs to be explicitly set by the caller.

V

value - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

The value of the point.

value(double) - Method in class org.processmining.plugins.stochasticpetrinet.analyzer.anomaly.ShiftedDistribution

value(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.AnotherAbstractRealDistribution

The function value is the density.

value(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.ApproximateDensityDistribution

value(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.numeric.FastDensityFunction

value(double) - Method in class org.processmining.plugins.stochasticpetrinet.distribution.numeric.ReplayStepDensityFunction

valueOf(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseTypes

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin.ExperimentType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.external.Allocation.AllocType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator.ObsType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.MissingDataHandling

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum org.processmining.plugins.temporal.miner.TemporalRelation

Returns the enum constant of this type with the specified name.

values - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RLogSplineDistribution

values - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.timeseries.ARMATimeSeries

values() - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.ExecutionPolicy

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.filter.noise.NoiseLogFilter.NoiseTypes

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.enricher.experiment.PerformanceEnricherExperimentPlugin.ExperimentType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.enricher.TimeConstraints.TimeAssumption

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.external.Allocation.AllocType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.external.AllocationBasedNetGenerator.ObsType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.miner.QualityCriterion

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.AvailableScripts

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.MissingDataHandling

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.stochasticpetrinet.prediction.timeseries.TimeSeriesConfiguration.TimeSeriesType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum org.processmining.plugins.temporal.miner.TemporalRelation

Returns an array containing the constants of this enum type, in the order they are declared.

VALUES_SEPARATOR - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

variance() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the maximum likelihood estimate of the variance of the samples.

varianceUnbiased() - Method in class org.processmining.plugins.temporal.miner.OnlineNormalEstimator

Returns the unbiased estimate of the variance of the samples.

version - Variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

veryPrecise - Static variable in class org.processmining.plugins.stochasticpetrinet.distribution.GaussianKernelDistribution

VisitState - Class in org.processmining.plugins.stochasticpetrinet.simulator

A State to visit during exploration TODO: make more compact (e.g.

VisitState(XTrace, Marking, Long, BigDecimal) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.VisitState

VisualControls - Class in org.processmining.plugins.temporal.ui

VisualControls(TemporalModelPanel) - Constructor for class org.processmining.plugins.temporal.ui.VisualControls

visualize(PluginContext, StochasticNet) - Method in class org.processmining.plugins.stochasticpetrinet.ui.PerformanceVisualization

visualize(PluginContext, CaseStatisticsList) - Method in class org.processmining.plugins.stochasticpetrinet.ui.OutlierVisualizer

visualize(PluginContext, SortedSensorIntervals) - Static method in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization

visualize(PluginContext, TemporalModel) - Static method in class org.processmining.plugins.temporal.ui.TemporalModelVizualizer

visualizeGraph(Graph<Activity, LocationChange>, boolean, Map<Activity, Number>, StochasticNet.TimeUnit, Activity) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.LogLocationDelayInducer

W

WEEKS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

WEIBULL - org.processmining.models.graphbased.directed.petrinet.StochasticNet.DistributionType

weight - Variable in class org.processmining.models.graphbased.directed.petrinet.elements.TimedTransition

The weight of the transition If multiple immediate transitions are enabled concurrently, the decision which one to fire is done on a probabilistic basis.

WEIGHT - Static variable in class org.processmining.plugins.pnml.simple.PNMLToolSpecific

WeightsOptimizer - Class in org.processmining.plugins.stochasticpetrinet.enricher.optimizer

WeightsOptimizer(double[], Map<String, int[]>) - Constructor for class org.processmining.plugins.stochasticpetrinet.enricher.optimizer.WeightsOptimizer

width - Variable in class org.processmining.plugins.stochasticpetrinet.ui.PlotPanelFreeChart.PointOfInterest

should be around 1-4 pixels

WIDTH - Static variable in class org.processmining.plugins.stochasticpetrinet.external.sensor.SensorIntervalVisualization.IntervalVisualizer

WorldConfiguration - Class in org.processmining.plugins.stochasticpetrinet.simulator

WorldConfiguration() - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

WorldConfiguration(Graph<Location, Double>, Map<Transition, Set<Allocation>>, boolean) - Constructor for class org.processmining.plugins.stochasticpetrinet.simulator.WorldConfiguration

wrappedDist - Variable in class org.processmining.plugins.stochasticpetrinet.distribution.RejectionWrapper

The original distribution

writeLogToFile(XLog, File) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

writeRecordsToFile(SortedMultiset<Record>, String) - Method in class org.processmining.plugins.stochasticpetrinet.simulator.LogLocationDelayInducer

writeStringToFile(String, String) - Static method in class org.processmining.plugins.stochasticpetrinet.StochasticNetUtils

Convenience utility function to write a string to a file specified by a file name.

Y

YEARS - org.processmining.models.graphbased.directed.petrinet.StochasticNet.TimeUnit

Z

zoom(boolean) - Method in class org.processmining.plugins.temporal.ui.TemporalModelPanel

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