kieker.tools.tslib.forecast.ets
Class ETSForecaster

java.lang.Object
  kieker.tools.tslib.forecast.AbstractForecaster<Double>
      kieker.tools.tslib.forecast.AbstractRForecaster
          kieker.tools.tslib.forecast.ets.ETSForecaster

All Implemented Interfaces:

IForecaster<Double>

public class ETSForecaster
extends AbstractRForecaster

An R-based time series forecaster which computes a forecast based on exponential smoothing.

Since:

1.10

Author:

Andre van Hoorn

Constructor Summary

ETSForecaster(ITimeSeries<Double> historyTimeseries)

ETSForecaster(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

ETSForecaster

public ETSForecaster(ITimeSeries<Double> historyTimeseries)

Parameters:

historyTimeseries - Time Series

ETSForecaster

public ETSForecaster(ITimeSeries<Double> historyTimeseries,
                     int confidenceLevel)

Parameters:

historyTimeseries - Time Series

confidenceLevel - value of confidence level (0-100)