Hyperparameter Optimization with Ray Tune

Описание

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 https://www.modzy.com/modzy-blog.

Source code can be found here https://github.com/modzy/ray-tune-hyperparameter-search.

#hyperparameter #ray #raytune