How to use Tune (ray) with Guild

[garrett]

There’s been a bit of needle moving on this front. There’s an example that uses Hyperopt TPE for sequential optimization:

Hyperopt Example

Overview This example illustrate how to create a custom optimizer using Hyperopt. Follow the patterns outlined below to use other sequential tuning algorithms with your project. Project files: guild.yml Project Guild file train.py Sample training script tpe.py Optimizer support using Tree of Parzen Estimators with Hyperopt requirements.txt List of required libraries An optimizer is a Guild operation that specializes in running multiple trials based on a batch prototype. I…

Using Tune or another library (e.g. the excellent Optuna lib) should be a matter of following the pattern used by this example.