README.md

Basics of Syne Tune

This tutorial provides an overview of Syne Tune. You will learn about the most important concepts of automated hyperparameter tuning, and how to make it work for your setup.

If you like to run the code linked in this tutorial, please make sure to use the current PyPI release. If you cloned the source repository, this is obtained as follows:

git checkout -b basic_tutorial v0.11

This gives you a local branch basic_tutorial, in which you can play around with the code.

Table of Contents

• Setting up the Problem
• Random Search
• Bayesian Optimization
• Asynchronous Successive Halving and Hyperband
• Model-Based Asynchronous Successive Halving
• Promotion-based Scheduling
• SageMaker Back-end
• Outlook

[First Section]