Class | Description |
---|---|
AutoArimaTimeSeries | |
AverageMethodTimeSeries |
The simplest form of model to fit to a data set is the average.
|
DriftMethodTimeSeries |
The drift method extrapolates a line through the first observation and the last observation
for computing the next forecast.
|
LastObservationTimeSeries | |
NaiveMethodTimeSeries |
The naive predictor for a time series simply returns the latest value as the predictor for the next one.
|
Observation<H> |
An individual historical observation on which to base future predictions.
|
Prediction<T> | |
RTimeSeries<H> | |
SeasonalNaiveMethodTimeSeries |
A naive seasonal forecast (forecasts the same value as the one observed in the last season)
|
TimeSeries<H> |
A time series of values (might be durations, might be rates, might be anything)
|