org.hawkular.datamining.forecast.models

Class DoubleExponentialSmoothing.DoubleExOptimizer

java.lang.Object

org.hawkular.datamining.forecast.models.AbstractModelOptimizer

org.hawkular.datamining.forecast.models.DoubleExponentialSmoothing.DoubleExOptimizer

All Implemented Interfaces:

ModelOptimizer

Enclosing class:

DoubleExponentialSmoothing

public static class DoubleExponentialSmoothing.DoubleExOptimizer
extends AbstractModelOptimizer

Field Summary

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

result

Constructor Summary

Constructors

Constructor and Description
DoubleExOptimizer(MetricContext metricContext)

Method Summary

Modifier and Type	Method and Description
org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter	costFunction(List<DataPoint> dataPoints)
DoubleExponentialSmoothing	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

DoubleExOptimizer

public DoubleExOptimizer(MetricContext metricContext)

Method Detail

minimizedMSE

public DoubleExponentialSmoothing 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

costFunction

public org.apache.commons.math3.optim.nonlinear.scalar.MultivariateFunctionMappingAdapter costFunction(List<DataPoint> dataPoints)