Welcome to boa's documentation! ==================================== :doc:`BOA's ` 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) - Can be used for Wrappers in any language (You don't even need to write any python!) See :mod:`Script Wrapper <.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 .. important:: This site is still under construction. More content will be added soon! Contents -------- .. toctree:: :maxdepth: 2 user_guide/index examples/index troubleshooting changelog Code reference gallery contributing Indices and tables ================== * :ref:`genindex` * :ref:`modindex` * :ref:`search`