madeline-scyphers / boa

Bayesian Optimization for Anything: A high-level Bayesian optimization framework and model wrapping toolkit. It provides an easy-to-use interface between models and the python libraries Ax and BoTorch.

Bayesian Optimization for Anything

BOA is a high-level Bayesian optimization framework and model wrapping tool for providing an easy-to-use interface between models and the python libraries Ax and BoTorch

Key features

• Model agnostic

  • Can be used for models in any language (not just python)
  • Can be used for Wrappers in any language (You don't even need to write any python!) See Script Wrapper for details on how to do that.
  • Simple to implement for new models, with minimal coding required

• Scalable

  • Can be used for simple models or complex models that require a lot of computational resources
  • Scheduler to manage individual model runs
  • Supports parallelization

• Modular & customizable

  • Can take advantages of the many features of Ax/BoTorch
  • Customizable objective functions, multi-objective optimization, acquisition functions, etc
  • Choice of built-in evaluation metrics, but it’s also easy to implement custom metrics

Install requirements

• see installation guide

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