imputation_visual_check.ipynb is not in the repository

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.

MIT License

168 stars 26 forks source link

imputation_visual_check.ipynb is not in the repository #8

Open Dinggggg opened 2 years ago

Dinggggg commented 2 years ago

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

thanhquanse commented 2 years ago

Hi @Dinggggg

I'm also really interested in this GAN RNN, I am reading code and trying to figure out each step/method's functions, but not fully understand and nowhere I can find documents. Therefore, I'm writing here in the hope that you can give me your contact so that I can discuss hopefully

At present, I don't know this block

Not sure why we have to prepare that kind of numpy data. What can it reveal?

Thanks

WenjieDu commented 1 year ago

Hi @Dinggggg ,😃 SAITS may be useful to you on the time-series imputation problem. You can try SAITS with PyPOTS https://github.com/WenjieDu/PyPOTS with only few lines of code. Please take a look if you're interested.