Package org.hawkular.datamining.forecast.models

Interface Summary

Interface	Description
ModelOptimizer	Finds best model for given data set.
TimeSeriesModel	Basic interface for time series model

Class Summary

Class	Description
AbstractExponentialSmoothing
AbstractModelOptimizer
ContinuousModel	Some models throw exception if model has not been initialized TimeSeriesModel.init(List) before calling TimeSeriesModel.learn(DataPoint).
DoubleExponentialSmoothing	Double exponential smoothing (Holt's linear trend model) Works well when data exhibits increasing or decreasing trend pattern.
DoubleExponentialSmoothing.Optimizer
DoubleExponentialSmoothing.State
SimpleExponentialSmoothing	Simple exponential smoothing Works well for stationary data when there is no trend in data.
SimpleExponentialSmoothing.Optimizer
SimpleExponentialSmoothing.State
SimpleMovingAverage	Simple moving average model, often used for trend estimating
TimeSeriesModel.TimestampComparator
TripleExponentialSmoothing	Triple exponential smoothing model also known as Holt-Winters model.
TripleExponentialSmoothing.Optimizer
TripleExponentialSmoothing.State
WeightedMovingAverage	Weighted moving average model, variant of Moving average model.

Enum Summary

Enum	Description
Model