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Jeff Raubitschek
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Hi, I am a developer on the sweeps product. The product simplifies the exploration of your hyperparameter search space. It is designed to be very flexible and work in different environments and workflows. Let me know if you have any questions or suggestions.
Sweeps
Scalable, customizable hyperparameter tuning
Hyperparameter tuning is a way to find the best machine learning model. We make it ridiculously easy to run hyperparameter sweeps using simple algorithms like grid search, to more modern approaches like bayesian optimization and early stopping.
Sweeps
Scalable, customizable hyperparameter tuning