Kieker 1.11

kieker.tools.opad.timeseries.forecast.arima
Class ARIMA101Forecaster

java.lang.Object
  extended by kieker.tools.opad.timeseries.forecast.AbstractForecaster<java.lang.Double>
      extended by kieker.tools.opad.timeseries.forecast.AbstractRForecaster
          extended by kieker.tools.opad.timeseries.forecast.arima.ARIMA101Forecaster
All Implemented Interfaces:
IForecaster<java.lang.Double>

public class ARIMA101Forecaster
extends AbstractRForecaster

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

Since:
1.10
Author:
Andre van Hoorn, Tillmann Carlos Bielefeld

Field Summary
 
Fields inherited from class kieker.tools.opad.timeseries.forecast.AbstractRForecaster
MIN_TS_SIZE_DEFAULT
 
Constructor Summary
ARIMA101Forecaster(ITimeSeries<java.lang.Double> historyTimeseries)
           
ARIMA101Forecaster(ITimeSeries<java.lang.Double> historyTimeseries, int confidenceLevel)
           
 
Method Summary
protected  java.lang.String forecastOperationOnResult(java.lang.String varNameForecast)
           
protected  java.lang.String[] getForecastFuncParams()
          Returns additional parameters to be appended to the call of the R forecast function.
protected  java.lang.String[] getModelFuncParams()
          Returns additional parameters to be appended to the call of the R forecast model.
protected  java.lang.String lowerOperationOnResult(java.lang.String varNameForecast)
           
protected  java.lang.String upperOperationOnResult(java.lang.String varNameForecast)
           
 
Methods inherited from class kieker.tools.opad.timeseries.forecast.AbstractRForecaster
createNaNForecast, forecast, removeNullValues, satisfiesInputTSRequirements
 
Methods inherited from class kieker.tools.opad.timeseries.forecast.AbstractForecaster
getConfidenceLevel, getTsOriginal, prepareForecastTS, supportsConfidence
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

ARIMA101Forecaster

public ARIMA101Forecaster(ITimeSeries<java.lang.Double> historyTimeseries)
Parameters:
historyTimeseries - timeseries used by forecating algo

ARIMA101Forecaster

public ARIMA101Forecaster(ITimeSeries<java.lang.Double> historyTimeseries,
                          int confidenceLevel)
Parameters:
historyTimeseries - timeseries used by forecating algo
confidenceLevel - value of confidence
Method Detail

getModelFuncParams

protected java.lang.String[] getModelFuncParams()
Description copied from class: AbstractRForecaster
Returns additional parameters to be appended to the call of the R forecast model.

Specified by:
getModelFuncParams in class AbstractRForecaster
Returns:
the parameters or null if none

getForecastFuncParams

protected java.lang.String[] getForecastFuncParams()
Description copied from class: AbstractRForecaster
Returns additional parameters to be appended to the call of the R forecast function.

Specified by:
getForecastFuncParams in class AbstractRForecaster
Returns:
the parameters or null if none

forecastOperationOnResult

protected java.lang.String forecastOperationOnResult(java.lang.String varNameForecast)
Overrides:
forecastOperationOnResult in class AbstractRForecaster
Parameters:
varNameForecast - name FC
Returns:
string operation result

lowerOperationOnResult

protected java.lang.String lowerOperationOnResult(java.lang.String varNameForecast)
Overrides:
lowerOperationOnResult in class AbstractRForecaster
Parameters:
varNameForecast - Forecastname
Returns:
lowOperation

upperOperationOnResult

protected java.lang.String upperOperationOnResult(java.lang.String varNameForecast)
Overrides:
upperOperationOnResult in class AbstractRForecaster
Parameters:
varNameForecast - Forecastname
Returns:
upperOperation

Kieker 1.11

Copyright 2015 Kieker Project, http://kieker-monitoring.net