Hello,

I'm trying to set up a DAB job that runs an ML job. For this it would be useful to use a serverless ML environment, that I can select in notebooks. Anyway, I do not find a meaningful way to define the base environment as ML.

I do not want to give the requirements-ML.txt, as I think there would be a larger start-up time. I could not find any useful documentation for it.

I tried something like

  environments:
    - environment_key: default
      spec:
        environment_version: "5"
        base_environment: "ML"
        dependencies:
          - ... light dependencies

but it does expect a yml file on base environment.

Does anybody has a tip?

Thank you,

Daniele