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How can I do Data augmentation for the training folds for each iteration of cross-validation?
Suppose I am doing a 5 fold CV, so I want to do data augmentation (rotation and horizontal flip) for th…
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## ❓ Questions/Help/Support
Currently I am trying to train multiple folds of my dataset on each TPU core using threading but ignite has issues where the one thread either takes preference over othe…
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- [ ] We should not let the datamanager actively reside in memory when we are not using it. For example, there is no need to have a datamanager in [smbo](https://github.com/automl/Auto-PyTorch/blob/ed…
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This is super weird, but everything works fine with doing cross-validation over 10 folds, but the issue appears when K=20.
The issue is that every fold now contains exactly the same frequency for t…
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Hi Sarthak,
when I try to train on the toy dataset with the samples/config_classification.yaml I get the error `/bin/sh: 1: qsub: not found`. I believe this originates from 'parallel_compute_comman…
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Hi again,
sorry for opening so many issues >.<
When I try to train on the toy dataset in testing/data.zip I get the error `IndexError: list index out of range`. This might originate from `normaliz…
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Hi Muhan, can you help me deal with two errors?
When I tried to follow the _Readme_ to make -j4 under the "lib" it shows like following:
Nothing to be done for `all'.
And when I make the comma…
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## 🐛 Bug
I tried to run k-fold cross-validation, this gives me a tqdm 'NoneType' object is not iterable on a Linux-based server, but not on a Macbook. I try to keep the packages in both sides t…
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## ❓ Questions and Help
Hi,
In the code example, the sampling in mxnet, can you load your own dataset like sse, if so, what should I do? Any answer will be appreciated.