Difan Deng

Thanks for the reporting! We will add another function to change the illegal values to the default configuration values and add it to the next release ASAP.

Thanks for the bug reporting, the path to the forecasting_init_cfgs.py was not properly installed, we will fix this bug ASAP in the next release.

Hi, this error happens because one hyperparameter configuration passed the HPO process (only trained on the training set) but failed during the refit process (when the model is trained on...

Hi, thanks for the bug reporting. I think the issue might be caused by the `spawn` mutliprocessing setting. Could you please 1. set `autoPyTorch.api.BaseTask._multiprocessing_context` back to `fork` and then 2....

Hmmm...Then I have no clue about the `CUDA initialization` error. I have never encountered it before... Let's come back to the `spawn` setting. As a workaround, you could try to...

Hi, does this NAN errors happens for all the configurations or just this single configuration? Sometimes this is simply the result of an unsuited hyperparameter configuration that result in an...

The problem is a bit complicated; this dataset only contains integral values. Therefore, it is considered a 'multiclass' dataset and all its 0 values are transformed into a very small...

if you want to reproduce the results from the paper, you could use the code from this branch: https://github.com/dengdifan/Auto-PyTorch/tree/ecml22_apt_ts (I did some modifications to make it compatible with the current...

This should also fix https://github.com/automl/ConfigSpace/issues/253 while https://github.com/automl/ConfigSpace/pull/219 cannot fix it

hi, how is the function that you want to optimize looks like? If the function cannot output fixed value with fixed seed, then it is very likely that SMAC will...