Hyperparameter Optimization with Ray Tune

Hyperparameter optimization is a widely-used training process across the machine learning community. The objective of hyperparameter optimization (or tuning) is to find a single subset of parameters that lead to the highest model performance while training on a given dataset. This tech talk includes a demonstration of a basic hyperparameter search using two popular open-source tools, Ray Tune and MLflow tracking.
For more resources, visit www.modzy.com/....
Source code can be found here github.com/mod....
#hyperparameter #ray #raytune

[@elifcerengok8274]

Great tutorial! Do you share the code somewhere so we can go through of it? Thanks 🤖

[@mohammedwoyeso8794]

ModuleNotFoundError: No module named 'ray.tune.suggest'

[@bradleymunday9124]

Any chance you could provide some more details?

[@alanpina2193]

Got the same error, were you able to correct it?