I am performing a simple hyperparameter search calling
tune.run. In my case it is expected that some configurations will not work and the
trainable throws an exception. In principle, I think this is not a problem for
tune.run as it collects the errors and finishes all the other runs. However, after completion instead of returning the
tune.run throws an exception itself.
I am now wondering, what is the intended way of gracefully handling exceptions that occur within the
trainable? How do I get access to the
tune.Analysis object if some runs failed?