org.hawkular.datamining.forecast.models

Class TripleExponentialSmoothing.TripleExOptimizer

java.lang.Object

org.hawkular.datamining.forecast.models.AbstractModelOptimizer

org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.TripleExOptimizer

All Implemented Interfaces:

ModelOptimizer

Enclosing class:

TripleExponentialSmoothing

public static class TripleExponentialSmoothing.TripleExOptimizer
extends AbstractModelOptimizer

Field Summary

Fields inherited from class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

result

Constructor Summary

Constructors

Constructor and Description
TripleExOptimizer()
TripleExOptimizer(Integer periods, MetricContext metricContext)
TripleExOptimizer(MetricContext metricContext)

Method Summary

Modifier and Type	Method and Description
Integer	getPeriods()
TripleExponentialSmoothing	minimizedMSE(List<DataPoint> dataPoints)
void	setPeriods(Integer periods)

Methods inherited from class org.hawkular.datamining.forecast.models.AbstractModelOptimizer

getMetricContext, optimize, result

Methods inherited from class java.lang.Object

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

Constructor Detail

TripleExOptimizer

public TripleExOptimizer()

TripleExOptimizer

public TripleExOptimizer(MetricContext metricContext)

TripleExOptimizer

public TripleExOptimizer(Integer periods,
                         MetricContext metricContext)

Method Detail

setPeriods

public void setPeriods(Integer periods)

getPeriods

public Integer getPeriods()

minimizedMSE

public TripleExponentialSmoothing minimizedMSE(List<DataPoint> dataPoints)

Parameters:

dataPoints - training data set

Returns:

best model for given data set. Model is already learned up to last timestamp in trainData