Uses of Interface
org.hawkular.datamining.forecast.models.TimeSeriesModel

Packages that use TimeSeriesModel

Package	Description
org.hawkular.datamining.forecast
org.hawkular.datamining.forecast.models

Uses of TimeSeriesModel in org.hawkular.datamining.forecast

Methods in org.hawkular.datamining.forecast that return TimeSeriesModel

Modifier and Type	Method and Description
TimeSeriesModel	AutomaticForecaster.model()
TimeSeriesModel	Forecaster.model()

Uses of TimeSeriesModel in org.hawkular.datamining.forecast.models

Classes in org.hawkular.datamining.forecast.models that implement TimeSeriesModel

Modifier and Type	Class and Description
class	AbstractExponentialSmoothing
class	ContinuousModel Some models throw exception if model has not been initialized init(List) before calling learn(DataPoint).
class	DoubleExponentialSmoothing Double exponential smoothing (Holt's linear trend model) Works well when data exhibits increasing or decreasing trend pattern.
class	SimpleExponentialSmoothing Simple exponential smoothing Works well for stationary data when there is no trend in data.
class	TripleExponentialSmoothing Triple exponential smoothing model also known as Holt-Winters model.

Methods in org.hawkular.datamining.forecast.models that return TimeSeriesModel

Modifier and Type	Method and Description
TimeSeriesModel	ModelOptimizer.minimizedMSE(List<DataPoint> trainData)

Methods in org.hawkular.datamining.forecast.models that return types with arguments of type TimeSeriesModel

Modifier and Type	Method and Description
Class<? extends TimeSeriesModel>	Model.getModel()

Constructors in org.hawkular.datamining.forecast.models with parameters of type TimeSeriesModel

Constructor and Description
ContinuousModel(TimeSeriesModel model)