bayesgm is a toolkit providing a AI-driven Bayesian generative modeling framework for various Bayesian inference tasks in complex, high-dimensional data. The framework is built upon Bayesian principles combined with modern AI models, enabling flexible modeling of complex dependencies with principled uncertainty estimation. Currently, the bayesgm package includes two model families: BGM and CausalBGM.
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Release files for bayesgm 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| bayesgm-1.0.2.tar.gz | 75.1 kB | Details |
Release files / bayesgm-1.0.2.tar.gz
| Download URL | bayesgm-1.0.2.tar.gz |
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| Size | 75.1 kB |
| Tags | Source |
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twine/6.2.0 CPython/3.9.23
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