org.hawkular.datamining.forecast.models

Class TripleExponentialSmoothing.Optimizer

java.lang.Object

org.hawkular.datamining.forecast.models.AbstractModelOptimizer

org.hawkular.datamining.forecast.models.TripleExponentialSmoothing.Optimizer

All Implemented Interfaces:

ModelOptimizer

Enclosing class:

TripleExponentialSmoothing

public static class TripleExponentialSmoothing.Optimizer
extends AbstractModelOptimizer

Field Summary

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

result

Constructor Summary

Constructors

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

Method Summary

Modifier and Type	Method and Description
Integer	getPeriods()
TimeSeriesModel	minimizedMSE(List<DataPoint> dataPoints)

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

Optimizer

public Optimizer()

Optimizer

public Optimizer(MetricContext metricContext)

Optimizer

public Optimizer(Integer periods,
                 MetricContext metricContext)

Method Detail

getPeriods

public Integer getPeriods()

minimizedMSE

public TimeSeriesModel 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