Setting Up Supernets

A successful rollout of a prediction system involves cloning existing code and implementing a custom supernet tailored to specific operators of interest. Key decisions include defining the search space, selecting an appropriate loss function, and fine-tuning hyperparameters like learning rates. With these elements in place, one can effectively enhance their model using offline datasets.