Pre-release
This release is a pre-release and may not be stable for production use.
Description: pyAgrum is a scientific C++ and Python library dedicated to Bayesian Networks and other Probabilistic Graphical Models. It provides a high-level interface to the part of the C++ aGrUM library allowing to create, model, learn, use, calculate with and embed Bayesian Networks and other graphical models. Some specific (python and C++) codes are added in order to simplify and extend the aGrUM API. The module is mainly generated by the SWIG interface generator.
Metadata
Release files for pyAgrum-nightly 1.9.0.9.dev202310151697097752
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pyAgrum_nightly-1.9.0.9.dev202310151697097752-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details |
Release files / pyAgrum_nightly-1.9.0.9.dev202310151697097752-cp39-cp39-win_amd64.whl
| Download URL | pyAgrum_nightly-1.9.0.9.dev202310151697097752-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 2.6 MB |
| Tags | CPython 3.9 Windows x86-64 |
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twine/1.15.0 pkginfo/1.8.3 requests/2.27.1 setuptools/39.0.1 requests-toolbelt/1.0.0 tqdm/4.64.1 CPython/2.7.15rc1
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