kieker.tools.tslib.forecast.mean
Class MeanForecasterJava

java.lang.Object
  kieker.tools.tslib.forecast.AbstractForecaster<Double>
      kieker.tools.tslib.forecast.mean.MeanForecasterJava

All Implemented Interfaces:

IForecaster<Double>

public class MeanForecasterJava
extends AbstractForecaster<Double>

A Java-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

MeanForecasterJava(ITimeSeries<Double> historyTimeseries)

Method Summary

IForecastResult	forecast(int numForecastSteps) Performs a time series forecast for the given number of steps in the future.
static Double[]	removeNullValues(List<Double> allHistory)

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

MeanForecasterJava

public MeanForecasterJava(ITimeSeries<Double> historyTimeseries)

Parameters:

historyTimeseries - TimeSeries

Method Detail

forecast

public IForecastResult forecast(int numForecastSteps)

Description copied from interface: IForecaster

Performs a time series forecast for the given number of steps in the future.

Parameters:

numForecastSteps - number of values the forecaster is going to forecast

Returns:

Forecast Result

removeNullValues

public static Double[] removeNullValues(List<Double> allHistory)

Parameters:

allHistory - List there null values should deltet in this function

Returns:

List/Array with no NullValues