LastObservationTimeSeries (StochasticPetriNets)

java.lang.Object
- org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries<java.lang.Double>
- - org.processmining.plugins.stochasticpetrinet.simulator.timeseries.LastObservationTimeSeries

public class LastObservationTimeSeries
extends TimeSeries<java.lang.Double>

Field Summary
- Fields inherited from class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries
  key, lag, season

Constructor Summary

Constructors
Constructor Description

LastObservationTimeSeries()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`protected void`	`fit(LimitedQueue<Observation<java.lang.Double>> currentObservations)`	Subclasses need to fit their corresponding time series model to the currently available data.
`protected Prediction<java.lang.Double>`	`getPrediction(int h, java.lang.Object... payload)`	Subclasses need to provide an implementation for the prediction of h-steps into the future given the current position
`protected boolean`	`isAvailable(java.lang.Double observation)`
`void`	`setLastObservation(java.lang.Double lastObs)`	No aggregates used for this class, only predict the last single observation!

Methods inherited from class org.processmining.plugins.stochasticpetrinet.simulator.timeseries.TimeSeries
addObservation, findLastAvailableObservation, getLastObservation, getObservationOfLastSeason, predict, resetTo, setKey

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - LastObservationTimeSeries
```
public LastObservationTimeSeries()
```
- Method Detail
  - isAvailable
```
protected boolean isAvailable(java.lang.Double observation)
```
    Specified by:
    
    isAvailable in class TimeSeries<java.lang.Double>
  - fit
```
protected void fit(LimitedQueue<Observation<java.lang.Double>> currentObservations)
```
    Description copied from class: TimeSeries
    
    Subclasses need to fit their corresponding time series model to the currently available data.
    
    Specified by:
    
    fit in class TimeSeries<java.lang.Double>
  - getPrediction
```
protected Prediction<java.lang.Double> getPrediction(int h,
                                                     java.lang.Object... payload)
```
    Description copied from class: TimeSeries
    
    Subclasses need to provide an implementation for the prediction of h-steps into the future given the current position
    
    Specified by:
    
    getPrediction in class TimeSeries<java.lang.Double>
    
    Parameters:
    
    h - the prediction/forecast horizon
    
    payload - additional information which is available at time of prediction (if there are other additional explanatory variables)
  - setLastObservation
```
public void setLastObservation(java.lang.Double lastObs)
```
    No aggregates used for this class, only predict the last single observation!
    
    Parameters:
    
    lastObs -