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Is There Any Simple Way To Orchestrate A Batch To Train A Model With Different Features (In Order To Do Feature Selection, For Example) Through A Single .Py File? I Saw The Following Example
Could I just build it and log these parameters using
task.set_parameters()
so that I call
task.get_parameters()
later?
instead of manually calling set/get, you call task.connect(some_dict_or_object)
, it does both:
When running manually (i.e. without an agent) it logs the keys/values on the Task,
when running with an agents, it takes the values from the backend (Task) and sets them on the dict/object
Make sense ?
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2 years ago
one year ago