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Eval on the test set for 1 model I trained ran nearly 30 mins.
The text was updated successfully, but these errors were encountered:
Getting the data loaders to return the clean and degraded dfs should cut this time in 1/3.
But this has proven to be difficult:
TypeError: default_collate: batch must contain tensors, numpy arrays, numbers, dicts or lists; found <class 'pandas.core.frame.DataFrame'>
Sorry, something went wrong.
This isn't priority for ACME v1.0, kicking to Next milestone (but may want to kick even further if it's a bit tricky).
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Eval on the test set for 1 model I trained ran nearly 30 mins.
The text was updated successfully, but these errors were encountered: