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Feature request: Recursive multistep multivariate forecasting and direct multistep multi-series forecasting #625
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Hello Kishan, Thanks for your comments,
This is something we have pending. Since we are still developing new features for
As it is now, the Since this forecaster needs the future values of the series to predict the following steps, it needs 2 models (one for each series) to make it recursive and call them in parallel. Predict step 1 for both series, predict step 2 for both series... Is that what you have in mind?
Completly agree. We have this figure in the repo page and documentation to help the users with this problem: https://skforecast.org/latest/#forecasters Best, Javi |
The names of the Forecasters definitely need to be revisited, the family is growing and at some point we need to make the naming more intuitive. This may require some proper alias management to avoid breaking compatibility. ¡Maybe one day we are ready for version 1.0.0. ! 😄 😄 |
Recursive forecasting available for multivariate forecasting This is quite challenging because this hybrid strategy requires each individual series to be predicted internally so that the predicted values can then be used as input features by a second model. We have skipped this so far because the idea of this approach being too computationally expensive, but we could do some experimentation to test its feasibility. |
Yes I agree. This would be computationally challenging. I think there are other features which are easier to add to |
Currently
ForecastMultiSeriesCustom
andForecastMultiSeries
implement a recursive approach to multi-series forecasting.ForecastMultiVariate
implements a direct forecasting approach for multivariate forecasting.It would be good to have:
ForecasterAutoreg
,ForecasterMultiseries
) and a direct approach is specified in the class name (i.e.,ForecasterAutoregDirect
). However, for multivariate forecasting, a direct approach is used but not reflected in the class name (i.e.,ForecasterMultivariate
).Thanks again!
Kishan
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