In Code workspace, in a Jupyter code notebook, I can publish a given dataset output as a “Transform output”, which makes my python code to execute like a normal transform, in the background, to produce the output dataset that I want.
Does the same exist for model training ?
Can I publish a model training as a “transform” and run that in the background instead of in my user’s code workspace instance ?
Also, as that’s the goal, if the data volume is too high and the build too slow, should I use code repository instead ?