Oracen-zz / MIDAS

Multiple imputation utilising denoising autoencoder for approximate Bayesian inference

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Do you have an input pipeline example

cmlakhan opened this issue · comments

I am going through your documentation but am still a little confused for how I would need to implement the input pipeline functionality if I want to stream in data. Say you have data stored in a large CSV that has been scaled as you have specified, how would you go about creating the input pipeline function? Do you have an example one can use?

Is it something along the lines suggested in this Stanford Tutorial?

https://cs230-stanford.github.io/tensorflow-input-data.html

I'm new to Tensorflow so any additional pointers would be appreciated.

Hi @cmlakhan, sorry for the unacceptably slow response! The latest version of MIDAS is now available here: https://github.com/MIDASverse/MIDASpy

I hope the latest documentation helps clear up your issue, but if it doesn't feel free to file a new issue on the linked repo.

Thanks!