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
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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 Wrapperfor 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
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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
| Docs |  |
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| Github Latest release |  |
| Github dev release |  |
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| Coverage |  |
1 maintainer
Metadata
1 maintainer
Release files for boa-framework 0.11.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| boa_framework-0.11.0.tar.gz | 6.7 MB | Without provenance | Details for boa_framework-0.11.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| boa_framework-0.11.0-py3-none-any.whl | Python 3 | none | any | Details for boa_framework-0.11.0-py3-none-any.whl |
Total release size: 6.7 MB
Release files / boa_framework-0.11.0.tar.gz
| Download URL | boa_framework-0.11.0.tar.gz |
|---|---|
| Size | 6.7 MB |
| Tags | Source |
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Release files / boa_framework-0.11.0-py3-none-any.whl
| Download URL | boa_framework-0.11.0-py3-none-any.whl |
|---|---|
| Size | 82.1 kB |
| Tags | Python 3 |
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