Uses of Class
org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries

Packages that use TimeSeries

Package	Description
org.processmining.plugins.stochasticpetrinet.prediction.timeseries
org.processmining.plugins.stochasticpetrinet.simulator.timeseries

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

Methods in org.processmining.plugins.stochasticpetrinet.prediction.timeseries that return TimeSeries

Modifier and Type	Method	Description
TimeSeries<java.lang.Double>	TimeSeriesConfiguration.createNewTimeSeries(TimedTransition timedT)

Methods in org.processmining.plugins.stochasticpetrinet.prediction.timeseries that return types with arguments of type TimeSeries

Modifier and Type	Method	Description
java.lang.Class<? extends TimeSeries<java.lang.Double>>	TimeSeriesConfiguration.TimeSeriesType.getTimeSeriesClass()

Uses of TimeSeries in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

Subclasses of TimeSeries in org.processmining.plugins.stochasticpetrinet.simulator.timeseries

Modifier and Type	Class	Description
class	AutoArimaTimeSeries
class	AverageMethodTimeSeries	The simplest form of model to fit to a data set is the average.
class	DriftMethodTimeSeries	The drift method extrapolates a line through the first observation and the last observation for computing the next forecast.
class	LastObservationTimeSeries
class	NaiveMethodTimeSeries	The naive predictor for a time series simply returns the latest value as the predictor for the next one.
class	RTimeSeries<H>
class	SeasonalNaiveMethodTimeSeries	A naive seasonal forecast (forecasts the same value as the one observed in the last season)