Package | Description |
---|---|
org.processmining.plugins.stochasticpetrinet.prediction.timeseries | |
org.processmining.plugins.stochasticpetrinet.simulator.timeseries |
Modifier and Type | Method and Description |
---|---|
TimeSeries<java.lang.Double> |
TimeSeriesConfiguration.createNewTimeSeries(TimedTransition timedT) |
Modifier and Type | Method and Description |
---|---|
java.lang.Class<? extends TimeSeries<java.lang.Double>> |
TimeSeriesConfiguration.TimeSeriesType.getTimeSeriesClass() |
Modifier and Type | Class and 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)
|