Comments (1)
Hi @marcelo-bn,
If you want to use a Darts is a lightweight environment, you can use the onnx format (check the code snippet at the end of issue #553). However, you will be responsible for reshaping/preparing the samples for inference and won't have access to the TimeSeries
data-structure anymore.
Maintaining a separated version of the library for each model would actually not solve the problem since a lot of dependencies would remain (and it would be not realistically maintainable).
Feel free to fork Darts and remove all the features/models you don't need, hopefully this will reduce the requirements enough so that you can use our TFT implementation with your current constraints.
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Related Issues (20)
- Add a `model.supports_sampled_predictions` attribute HOT 3
- Inverse scaling for the list of series (different lengths handling) HOT 1
- is it possible to create an encoder for moving average so that it can be used as a future covariate? HOT 5
- [BUG] Inconsistent minimum time series length behaviour HOT 1
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- Power of darts with astronomical data HOT 1
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