| Interface | Description |
|---|---|
| Forecaster | |
| Logger | |
| MetricContext |
| Class | Description |
|---|---|
| AutomaticForecaster |
Selects the best model for given data set.
|
| AutomaticForecaster.ConceptDriftStrategy |
Strategy used for dealing with concept drift (statistical properties of modelled time series change over time)
For instance originally monotonic time series has changed to trend stationary or seasonal pattern has showed up.
|
| AutomaticForecaster.ErrorChangeStrategy |
Changes model if run accuracy differs by X percent to init accuracy (MSE, MAE).
|
| AutomaticForecaster.PeriodicIntervalStrategy |
The best model is periodically selected after each x learned points.
|
| DataPoint |
Represents point at specific time
|
| Forecaster.Config | |
| Forecaster.Config.Builder | |
| Forecaster.Update | |
| Forecaster.Update.Builder | |
| ImmutableMetricContext | |
| Logger_$logger |
Warning this class consists of generated code.
|
| PredictionIntervalMultipliers |
| Enum | Description |
|---|---|
| AutomaticForecaster.ErrorChangeStrategy.Statistics |
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