Plotting.py documentation

ratschlab / RGAN

Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

https://arxiv.org/abs/1706.02633

MIT License

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Plotting.py documentation #20

Open kazemSafari opened 6 years ago

kazemSafari commented 6 years ago

Hi guys! Is it possible for you to add some more detailed documentation on the plotting.py file? Also i wanted to ask if i just wanted to recreate your experiment with the mnist dataset, which of the functions in plotting.py would be used to help visualize the results just for the mnist experiment? Thank you.

data-boss commented 5 years ago

Hi,

I'm also trying to train the RGAN to reproduce the results on the eICU data. I have not got the eICU dataset, could you give me a brief introduction abot the structure of the dataset?
what are the 7 lables in the manuscript?
thank you

contact me : zhangxuewen2018@gmail.com