I’m probably missing something really basic from the documentation and examples, but reading:
I could not grasp how does one update the step/stop parameter? I.e. how do I link
training_iteration ray expects to my model.
Furthermore, do I have any way of knowing if the scheduling/ optimization is “running”?
Meaning, when setting
stop='foo' (I have no
foo variable…) for
tune.run(), I get no warnings and the task runs transparently to the fact it does not know what is the training step - which means it cannot really early stop or optimize for better parameters.