Using specific (conda) environment when running functions on the server-side

Hi,

Looks like a good candidate for using resources :slight_smile: How will you handle the datasets ? Are these stored in CSV files or TFRecords ones ?

I have made a bit of technology review and there is a good integration with R that is supported by Rstudio: https://tensorflow.rstudio.com/ (it uses the reticulate package that is a bridge between the R and Python worlds). Will you use this tensorflow R package ?

As there seems to be quite a lot of dependencies, I think that building a specific R server docker image, including all the Tensorflow related stuff, would help. You can use the obiba/opal-rserver as the base image.

Regards
Yannick