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This sample code demonstrates how to build an Amazon SageMaker environment for HPO using Optuna (an open source hyperparameter tuning framework).

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Amazon SageMaker Optuna HPO Blog

This sample code demonstrates how to build an Amazon SageMaker environment for HPO using Optuna (an open source hyperparameter tuning framework).

You can set up the environment depicted below with the CloudFormation template.

Launch Stack

Then clone this repository and try examples in the examples/ directory. The blog post is basically structured to demonstrate the examples/pytorch_simple/.

License Summary

This sample code is made available under a modified MIT license. See the LICENSE file.

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This sample code demonstrates how to build an Amazon SageMaker environment for HPO using Optuna (an open source hyperparameter tuning framework).

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