| Package | Description |
|---|---|
| org.hawkular.datamining.forecast |
| Modifier and Type | Class and Description |
|---|---|
static class |
AutomaticForecaster.ErrorChangeStrategy
Changes model if run accuracy differs by X percent to init accuracy (MSE, MAE).
|
static class |
AutomaticForecaster.PeriodicIntervalStrategy
The best model is periodically selected after each x learned points.
|
| Modifier and Type | Method and Description |
|---|---|
AutomaticForecaster.ConceptDriftStrategy |
Forecaster.Config.getConceptDriftStrategy() |
AutomaticForecaster.ConceptDriftStrategy |
Forecaster.Update.getConceptDriftStrategy() |
| Modifier and Type | Method and Description |
|---|---|
void |
Forecaster.Config.setConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy conceptDriftStrategy) |
Forecaster.Config.Builder |
Forecaster.Config.Builder.withConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy conceptDriftStrategy) |
Forecaster.Update.Builder |
Forecaster.Update.Builder.withConceptDriftStrategy(AutomaticForecaster.ConceptDriftStrategy conceptDriftStrategy) |
| Constructor and Description |
|---|
Config(int windowsSize,
Model modelToUse,
InformationCriterion ic,
AutomaticForecaster.ConceptDriftStrategy conceptDriftStrategy,
Integer period) |
Update(Integer windowsSize,
Model modelToUse,
InformationCriterion ic,
AutomaticForecaster.ConceptDriftStrategy conceptDriftStrategy,
Integer period) |
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