Kieker 1.10

kieker.tools.tslib.forecast.mean
Class MeanForecaster

java.lang.Object
  extended by kieker.tools.tslib.forecast.AbstractForecaster<Double>
      extended by kieker.tools.tslib.forecast.AbstractRForecaster
          extended by kieker.tools.tslib.forecast.mean.MeanForecaster
All Implemented Interfaces:
IForecaster<Double>

public class MeanForecaster
extends AbstractRForecaster

An R-based time series forecaster which computes a forecast based on the mean value of the historic values.

Since:
1.10
Author:
Andre van Hoorn

Constructor Summary
MeanForecaster(ITimeSeries<Double> historyTimeseries)
           
MeanForecaster(ITimeSeries<Double> historyTimeseries, int confidenceLevel)
           
 
Method Summary
 
Methods inherited from class kieker.tools.tslib.forecast.AbstractRForecaster
forecast, removeNullValues
 
Methods inherited from class kieker.tools.tslib.forecast.AbstractForecaster
getConfidenceLevel, getTsOriginal
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

MeanForecaster

public MeanForecaster(ITimeSeries<Double> historyTimeseries)
Parameters:
historyTimeseries - timeseries used by forecating algo

MeanForecaster

public MeanForecaster(ITimeSeries<Double> historyTimeseries,
                      int confidenceLevel)
Parameters:
historyTimeseries - timeseries used by forecating algo
confidenceLevel - value of confidence

Kieker 1.10

Copyright 2014 Kieker Project, http://kieker-monitoring.net