ivanbongiorni/gan-rnn_timeseries-imputation

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

gan-rnn_timeseries-imputation's Issues

imputation_visual_check.ipynb file is missing

imputation_visual_check.ipynb is not in the repository.
I appreciate if you can upload it, to compare results.
great job

imputation_visual_check.ipynb is not in the repository

imputation_visual_check.ipynb is not in the repository， please upload it.

"load_path" is not defined in "impute.py"

load_path variable is not defined in "impute.py" script, so it prevents us from running the script

It would be great if you can fix this OR explain what is the proper "load_path"?
Besides, "imputed_data" is not defined either

Thanks

missing file

Hello,

The file ''imputation_visual_check.ipynb'' is missed.
would you please share it as well.

About noise input for GAN

Hi Ivan, excellent work and thanks for making the codes open! I've read your codes and the markdown for how it works. It seems that there is no noise input for GAN and the partial GAN according to your implementation. I'm not an expert in GAN and time series imputation task, but is it common to do so?

#miss build

Hello!
I just find that name 'build' is not defined.
It is about generator model.
wish your reply！

imputation_visual_check.ipynb is not present in the repository. Please upload it.

imputation_visual_check.ipynb is not present in the repository. Please upload it.