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Bayesian Optimization for Anything: 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.
pip install boa-framework
PyPI declares 31 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<3<2<3<2<2<9<2>=5.10.0>=5.3>=7.5<=0.3.6,>=0.3.1<1<24<4The compact report shows 25 of 31 declarations. The interactive dependency graph loads the complete metadata.
boa-framework publishes 1 wheel and 1 source archive for version 0.11.0. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.8, 3.9.
PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.
PyPI lists 21 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .