rnyak

@subbayya can you please give us more info regarding which notebook you are running? what did you change in your code? what's the error you are getting?

@subbayya are you trying to run PyTorch classification example? did you test `torch.nn.BCEWithLogitsLoss()` instead? you can feed it [here](https://github.com/NVIDIA-Merlin/NVTabular/blob/main/nvtabular/framework_utils/torch/utils.py#L64) as a `loss_func` arg. Besides we have several classification examples with...

@rjzamora does this DOC enhancement make sense to you? thanks.

@shoyasaxa thanks for your question. Could you please use our latest container `docker pull nvcr.io/nvidia/merlin/merlin-training:21.11` and then pull the main branch for the latest changes and let us know if...

@shoyasaxa are you still facing the issue of `saving the transformed dataset to S3 exhibits a weird behavior that it creates another subfolder within where I pointed the save directory...

> I also confirmed that when I call to_parquet to an EBS volume (and not to S3), the metadata are generated correctly. Glad that you solved that with the latest...

@bschifferer can we close this ticket? looks like outdated..

@zxgx sorry for the inconvenience. Are you trying to run this notebook: https://github.com/NVIDIA-Merlin/NVTabular/blob/main/examples/scaling-criteo/01-Download-Convert.ipynb ?

@zxgx can you please give more information regarding your env? where do you want to install NVTabular? in a conda env? are you running notebooks in a cloud instance? what's...

@benfred there is a PR for that: https://github.com/NVIDIA/NVTabular/pull/1021 shall we consider it?