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During training, I somehow end up with these messages,
```
00:12:08 Cannot re-initialize CUDA in forked subprocess. To use CUDA with multiprocessing, you must use the 'spawn' start method Process …
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Hello,
I followed the instructions on the GitHub page for installing Autopytorch on my local machine and I was successful in doing so. The problem arises when I try to import auto-PyTorch in my Jup…
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Hey,
LR Schedulers dependent on their type should be updated either epoch-wise or batch-wise. Currently, they are only happening batch-wise which is incompatible with CosineAnnealingWarmRestarts, see…
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If only the validation split contains NaNs in certain columns, there might be errors.
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My X input is a valid numpy array of float values between 0 and 1 and Y input is integers (0 or 1) and the AutoNetClassifier is yielding the following warning which subsequently becomes an error:
…
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I found that the mininumu number of features for input is 2. Is there any reason?
Because I made custom loss function utilizing two input variables asymmetrically,
and it does not seem t…
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Hi,
I was trying to setup Auto-PyTorch to use with the benchmarking module and re-create some of the experiments from the paper. While testing out individual modules of the library, I ran into what…
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Could you please check if pipeline_config is being updated properly?
According to my debugging, it was not.
https://github.com/automl/Auto-PyTorch/blob/074a8f466b245e3c3852f28bc777783a8fcd6a1d/aut…
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The evaluation measure chosen by the user in not passed to fit in the trainer and consequentially only accuracy is used in the debugging logs.
@ravinkohli took an initial look at the problem and it…
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After installing the latest version of Auto-Pytorch, I got the following errors:
```
ValueError: numpy.ndarray size changed, may indicate binary incompatibility. Expected 88 from C header, got 80 fr…