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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.
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Release files for pyAgrum-nightly 1.10.0.9.dev202312141702377707
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 110.9 MB
Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-win_amd64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-win_amd64.whl |
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| Size | 2.6 MB |
| Tags | CPython 3.12 Windows x86-64 |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-manylinux2014_x86_64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-manylinux2014_x86_64.whl |
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| Size | 5.8 MB |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-manylinux2014_aarch64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-manylinux2014_aarch64.whl |
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| Size | 5.4 MB |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-macosx_11_0_arm64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-macosx_11_0_arm64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-macosx_10_9_x86_64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp312-cp312-macosx_10_9_x86_64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-win_amd64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-win_amd64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-manylinux2014_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-manylinux2014_aarch64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-macosx_11_0_arm64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-macosx_11_0_arm64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp311-cp311-macosx_10_9_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-win_amd64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-win_amd64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-manylinux2014_x86_64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-manylinux2014_x86_64.whl |
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-manylinux2014_aarch64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-macosx_11_0_arm64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp310-cp310-macosx_10_9_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp39-cp39-win_amd64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp39-cp39-manylinux2014_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp39-cp39-manylinux2014_aarch64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp39-cp39-macosx_11_0_arm64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp39-cp39-macosx_10_9_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-win_amd64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-manylinux2014_x86_64.whl
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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-manylinux2014_aarch64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-manylinux2014_aarch64.whl |
|---|---|
| Size | 5.4 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ ARM64 |
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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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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-macosx_11_0_arm64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | CPython 3.8 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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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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Release files / pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | pyAgrum_nightly-1.10.0.9.dev202312141702377707-cp38-cp38-macosx_10_9_x86_64.whl |
|---|---|
| Size | 4.3 MB |
| Tags | CPython 3.8 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
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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