[Feature request] time series classification about auto-pytorch HOT 2 OPEN

Alternatively, adding a method that returns the extracted features after a forecasting model is trained.

from auto-pytorch.

Thanks for the suggestion,
Unfortunately, we are busy with some other work these days and may add this feature in the near future.

However, here are some hints:
you could write a new pipeline for time series classification, which should be something similar to the tabular classification pipline and reimplement the [classification network] (https://github.com/automl/Auto-PyTorch/blob/master/autoPyTorch/pipeline/components/setup/network/base_network.py), adding them to the pipeline.
Additionally, the network backbone might also need to be modified accordingly: Auto-regressive needs to be removed.

Then you need to create a new class for time series classification task that is inherent from this class. Then everything should work as expected

from auto-pytorch.