| Package | Description |
|---|---|
| org.hawkular.datamining.forecast | |
| org.hawkular.datamining.forecast.models |
| Class and Description |
|---|
| Model |
| TimeSeriesModel
Basic interface for time series model
|
| Class and Description |
|---|
| AbstractExponentialSmoothing |
| AbstractExponentialSmoothing.PredictionResult |
| AbstractModelOptimizer |
| DoubleExponentialSmoothing
Double exponential smoothing (Holt's linear trend model)
Works well when data exhibits increasing or decreasing trend pattern.
|
| DoubleExponentialSmoothing.DoubleExOptimizer |
| DoubleExponentialSmoothing.DoubleExState |
| Model |
| ModelOptimizer
Finds best model for given data set.
|
| SimpleExponentialSmoothing
Simple exponential smoothing
Works well for stationary data when there is no trend in data.
|
| SimpleExponentialSmoothing.SimpleExOptimizer |
| SimpleExponentialSmoothing.State |
| TimeSeriesModel
Basic interface for time series model
|
| TripleExponentialSmoothing
Triple exponential smoothing model also known as Holt-Winters model.
|
| TripleExponentialSmoothing.TripleExOptimizer |
| TripleExponentialSmoothing.TripleExState |
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