SAMBO: Sequential And Model-Based (Bayesian) Optimization of black-box objective functions.
Installation
$ pip install sambo
# or
$ pip install 'sambo[all]' # Pulls in Matplotlib, scikit-learn
Usage
See examples on the project website.
Features
- Python 3+
- Simple usage, standard API.
- Algorithms prioritize to minimize number of evaluations of the objective function: SHGO, SCE-UA and SMBO available.
- Minimal dependencies: NumPy, SciPy (scikit-learn & Matplotlib optional).
- State-of-the-art performance—see benchmark results against other common optimizer implementations.
- Integral, real (floating), and categorical dimensions.
- Fast approximate global black-box optimization.
- Beautiful Matplotlib charts.
Development
Check CONTRIBUTING.md for hacking details.
Metadata
Release files for sambo 1.25.2
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sambo-1.25.2-py3-none-any.whl | Python 3 | none | any | Details for sambo-1.25.2-py3-none-any.whl |
Total release size: 114.8 kB
Release files / sambo-1.25.2.tar.gz
| Download URL | sambo-1.25.2.tar.gz |
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| Size | 60.2 kB |
| Tags | Source |
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| Download URL | sambo-1.25.2-py3-none-any.whl |
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| Size | 54.6 kB |
| Tags | Python 3 |
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Security for sambo 1.25.2
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