No, it is not a feature request, and yes, apparently it exist. It is not a wrapper like it is for Keras with R, it is just a “brute force”, or maybe quite elegant use of reticulate (a library to call python stuff from R). If you are curious of it, I invite you to jump directly to 11 minutes, where the learner etc are store in R objects (first part is just the level zero of reticulate : just passing python script inside reticulate).
Even as a R user it blow a bit my mind. My guess is that the good writing of the fast.ai library with clean classes and methods allow to write this kind of things in R :
without having everything exploding in hands.
Anyway, i just wanted to share this curiosity and made the fast.ai community aware of the existence of this possibility. And the other R users that could came to learn deep learning with fast.ai could be willing to use it, at least for the fun of it.
Actually I wonder if we can go further in the R style of writing and use the pipe %>%, to push the concept to its limit.
The code is here :