Syne Tune

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This package provides state-of-the-art distributed hyperparameter optimizers (HPO) where trials can be evaluated with several backend options (local backend to evaluate them locally; SageMaker to evaluate them as separate SageMaker training jobs; another backend with fast startup times is also in the making).

Installing

To install Syne Tune from pip, you can simply do:

pip install syne-tune

This will install a bare-bone version. If you want in addition to install our own Gaussian process based optimizers, Ray Tune or Bore optimizer, you can run pip install syne-tune[X] where X can be

gpsearchers: For built-in Gaussian process based optimizers
raytune: For Ray Tune optimizers
benchmarks: For installing all dependencies required to run all benchmarks
extra: For installing all the above
bore: For Bore optimizer

For instance, pip install syne-tune[gpsearchers] will install Syne Tune along with many built-in Gaussian process optimizers.

To install the latest version from git, run the following:

pip install git+https://github.com/awslabs/syne-tune.git

For local development, we recommend to use the following setup which will enable you to easily test your changes:

pip install --upgrade pip
git clone [email protected]:awslabs/syne-tune.git
cd syne-tune
pip install -e .[extra]