Welcome to boa’s documentation!#
boa is a high-level Bayesian optimization framework and model wrapping tool. It provides 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)
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
Important
This site is still under construction. More content will be added soon!