kieker.tools.opad.timeseries.forecast.mean

Class MeanForecasterJava

java.lang.Object

kieker.tools.opad.timeseries.forecast.AbstractForecaster<java.lang.Double>

kieker.tools.opad.timeseries.forecast.mean.MeanForecasterJava

All Implemented Interfaces:

IForecaster<java.lang.Double>

public class MeanForecasterJava
extends AbstractForecaster<java.lang.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

Constructors

Constructor and Description
MeanForecasterJava(ITimeSeries<java.lang.Double> historyTimeseries)

Method Summary

Methods

Modifier and Type	Method and Description
IForecastResult	forecast(int numForecastSteps) Performs a time series forecast for the given number of steps in the future.
static java.lang.Double[]	removeNullValues(java.util.List<java.lang.Double> allHistory)
protected boolean	supportsConfidence()

Methods inherited from class kieker.tools.opad.timeseries.forecast.AbstractForecaster

getConfidenceLevel, getTsOriginal, prepareForecastTS

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

MeanForecasterJava

public MeanForecasterJava(ITimeSeries<java.lang.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 java.lang.Double[] removeNullValues(java.util.List<java.lang.Double> allHistory)

Parameters:

allHistory - List there null values should deltet in this function

Returns:

List/Array with no NullValues

supportsConfidence

protected boolean supportsConfidence()

Overrides:

supportsConfidence in class AbstractForecaster<java.lang.Double>