Thanks, @<1523701205467926528:profile|AgitatedDove14> ! And how do I identify which one is the best model in the ClearML web app?
well that depends on you, what did you write there to know it is the best one ? file name ? added some metric ?
Ah, got you 👍 I'll check that again - I think it's training accuracy
Hi @<1614069770586427392:profile|FlutteringFrog26>
So since you have the Task id. you do:
task = Task.get_task("task id here")
Then to get the models
models = task.models["output]
the models is a list And a dict, if you want the lats one you do last_model = models[-1]
if you know the best model name you do model = models["best model"]
(notice the model name is the exact one you see in the UI. Once you have the model object you can get a copy with model.get_local_copy()