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Generate model hashes and populate experiment_models table when generating train tasks
For beginning evaluation or checking results prior to an experiment finishing, it is helpful to have the experiment_models lookup. An additional nice-to-have would be a model_status table or add status to experiment_models. This should play nicely with #440.
So by status, what exactly do you mean? A switch between "not yet trained", "trained", and "skipped"?
@saleiro or @avishekrk came up with the status, so I'll let them answer :)