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## 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)

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