NonPredictionIntervalContextIgnorantModelMixin¶
- class NonPredictionIntervalContextIgnorantModelMixin[source]¶
Bases:
etna.models.mixins.ModelForecastingMixinMixin for models that don’t support prediction intervals and don’t need context for prediction.
- Inherited-members
Methods
forecast(ts[, return_components])Make predictions.
predict(ts[, return_components])Make predictions with using true values as autoregression context if possible (teacher forcing).
- forecast(ts: etna.datasets.tsdataset.TSDataset, return_components: bool = False) etna.datasets.tsdataset.TSDataset[source]¶
Make predictions.
- Parameters
ts (etna.datasets.tsdataset.TSDataset) – Dataset with features
return_components (bool) – If True additionally returns forecast components
- Returns
Dataset with predictions
- Return type
- predict(ts: etna.datasets.tsdataset.TSDataset, return_components: bool = False) etna.datasets.tsdataset.TSDataset[source]¶
Make predictions with using true values as autoregression context if possible (teacher forcing).
- Parameters
ts (etna.datasets.tsdataset.TSDataset) – Dataset with features
return_components (bool) – If True additionally returns prediction components
- Returns
Dataset with predictions
- Return type