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Is your feature request related to a current problem? Please describe.
There is a growing trend in using large, pre-trained neural models for zero shot forecasting. There is a whole family of models coming out, some of them Open Source. It would be interesting to have a single framework (Darts) that one can use to compare the "custom trained" and the "pre-trained" models, especially because the data preprocessing capabilities of Darts are very useful.
Additional context
Since the general timeseries libraries like Nixtla are committed to closed source / single foundational models, Darts could become a go-to for OpenSource solutions.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a current problem? Please describe.
There is a growing trend in using large, pre-trained neural models for zero shot forecasting. There is a whole family of models coming out, some of them Open Source. It would be interesting to have a single framework (Darts) that one can use to compare the "custom trained" and the "pre-trained" models, especially because the data preprocessing capabilities of Darts are very useful.
Describe proposed solution
"Implement" any/all of the following models:
MOIRAI
Lag-Llama
Chronos
MOMENT
Describe potential alternatives
See above
Additional context
Since the general timeseries libraries like Nixtla are committed to closed source / single foundational models, Darts could become a go-to for OpenSource solutions.
The text was updated successfully, but these errors were encountered: