Comments (3)
le-dawg
commented on May 16, 2024
Oh, might this be related to my error (works flawlessly on the examples, throws errors on my dataset):
File "/usr/local/lib/python3.6/dist-packages/autoPyTorch-0.0.2-py3.6.egg/autoPyTorch/pipeline/nodes/imputation.py", line 29, in
dataset_info.categorical_features = [dataset_info.categorical_features[i] for i, is_nan in enumerate(all_nan) if not is_nan]
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()
My fix seemed to solve the issue but created a new problem keyword X_train missing
My data is 7352x128x9 ndarray of purely numerical values (9 time series vectors of 128 length per each example).
Is setting validation_split to 0 or 1 going to temporarily fix the issue?
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weir12
commented on May 16, 2024
Hi
@le-dawg
I have the same problem as you described.
My data is the shape of [batch_sizes,time_steps,input_sizes] which is conforms to the RNN input data format.
Have you solved the problem now?
Thanks!
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franchuterivera
commented on May 16, 2024
With the new refactor code in the development branch, this is no longer a problem. For this reason, I am closing this old issue.
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Related Issues (20)
- [Time series Forecasting] Continuous Ranked Probablity Score (CRPS) loss for probablity network ouput type HOT 2
- Improve `include_components` documentation HOT 1
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