Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

pyAgrum

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 aGrUM 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.

Important

Since pyAgrum 2.0.0, the package name follows PEP8 rules and is now pyagrum (lowercase). Please use import pyagrum instead of import pyAgrum in your code.

See the CHANGELOG for more details.

Example

import pyagrum as gum

# Creating BayesNet with 4 variables
bn=gum.BayesNet('WaterSprinkler')
print(bn)

# Adding nodes the long way
c=bn.add(gum.LabelizedVariable('c','cloudy ?',["Yes","No"]))
print(c)

# Adding nodes the short way
s, r, w = [ bn.add(name, 2) for name in "srw" ]
print (s,r,w)
print (bn)

# Addings arcs c -> s, c -> r, s -> w, r -> w
bn.addArc(c,s)
for link in [(c,r),(s,w),(r,w)]:
bn.addArc(*link)
print(bn)

# or, equivalenlty, creating the BN with 4 variables, and the arcs in one line
bn=gum.fastBN("w<-r<-c{Yes|No}->s->w")

# Filling CPTs
bn.cpt("c").fillWith([0.5,0.5])
bn.cpt("s")[0,:]=0.5 # equivalent to [0.5,0.5]
bn.cpt("s")[{"c":1}]=[0.9,0.1]
bn.cpt("w")[0,0,:] = [1, 0] # r=0,s=0
bn.cpt("w")[0,1,:] = [0.1, 0.9] # r=0,s=1
bn.cpt("w")[{"r":1,"s":0}] = [0.1, 0.9] # r=1,s=0
bn.cpt("w")[1,1,:] = [0.01, 0.99] # r=1,s=1
bn.cpt("r")[{"c":0}]=[0.8,0.2]
bn.cpt("r")[{"c":1}]=[0.2,0.8]

# Saving BN as a BIF file
gum.saveBN(bn,"WaterSprinkler.bif")

# Loading BN from a BIF file
bn2=gum.loadBN("WaterSprinkler.bif")

# Inference
ie=gum.LazyPropagation(bn)
ie.makeInference()
print (ie.posterior("w"))

# Adding hard evidence
ie.setEvidence({"s": 1, "c": 0})
ie.makeInference()
print(ie.posterior("w"))

# Adding soft and hard evidence
ie.setEvidence({"s": [0.5, 1], "c": 0})
ie.makeInference()
print(ie.posterior("w"))

LICENSE

Copyright (C) 2005-2024 by Pierre-Henri WUILLEMIN et Christophe GONZALES {prenom.nom}_at_lip6.fr

The aGrUM/pyAgrum library and all its derivatives are distributed under the dual LGPLv3+MIT license, see LICENSE.LGPL and LICENSE.MIT.

You can therefore integrate this library into your software solution but it will remain covered by either the LGPL v.3 license or the MIT license or, as aGrUM itself, by the dual LGPLv3+MIT license at your convenience. If you wish to integrate the aGrUM library into your product without being affected by this license, please contact us (info@agrum.org).

This library depends on different third-party codes. See src/aGrUM/tools/externals for specific COPYING and explicit permission of the authors, if needed.

If you use aGrUM/pyAgrum as a dependency of your own project, you are not contaminated by the GPL license of some of these third-party codes as long as you use only their aGrUM/pyAgrum interfaces and not their native interfaces.

Authors

  • Pierre-Henri Wuillemin

  • Christophe Gonzales

Maintainers

  • Lionel Torti

  • Gaspard Ducamp

Release files for pyAgrum-nightly 2.0.1.dev202504011743172129

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for pyAgrum-nightly 2.0.1.dev202504011743172129
File
pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-win_amd64.whl CPython 3.10 abi3 Windows x86-64 Details
pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_x86_64.whl CPython 3.10 abi3 Linux glibc 2.17+ x86-64 Details
pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_aarch64.whl CPython 3.10 abi3 Linux glibc 2.17+ ARM64 Details
pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_11_0_arm64.whl CPython 3.10 abi3 macOS 11.0+ ARM64 Details
pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_10_13_x86_64.whl CPython 3.10 abi3 macOS 10.13+ x86-64 Details

Total release size: 44.3 MB

Release files / pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-win_amd64.whl

Download URL pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-win_amd64.whl
Size 4.5 MB
Tags CPython 3.10 Windows x86-64 abi3
SHA-256 checksum
How to use checksums
8a29d78af69ac7c5a7c3fd773adb7e7e812315ba2c5812d3665765d33fe99f49
BLAKE2b-256 checksum
How to use checksums
e9f77ea065cf0ba89bf49f1d70669491e758f33959f4032dd468078ce9d12b05
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_x86_64.whl

Download URL pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_x86_64.whl
Size 12.7 MB
Tags CPython 3.10 Linux glibc 2.17+ x86-64 abi3
SHA-256 checksum
How to use checksums
46aec277c68ed589461cd879d09654386d2296e9d44e5985902f5c5228107fe3
BLAKE2b-256 checksum
How to use checksums
41e75e3342920c1674c6334448000a828f138e70f6a0a51033a4e612bbbeb677
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_aarch64.whl

Download URL pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-manylinux2014_aarch64.whl
Size 11.8 MB
Tags CPython 3.10 Linux glibc 2.17+ ARM64 abi3
SHA-256 checksum
How to use checksums
98f61a52bcdc48060864e053b14bc591d808af8f2bc151b9e9d462bf5cb2b503
BLAKE2b-256 checksum
How to use checksums
57b742944dccb10eb8965bfdfee6bffad6bb082a08a686dc303951b760e4e39c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_11_0_arm64.whl

Download URL pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_11_0_arm64.whl
Size 7.3 MB
Tags CPython 3.10 abi3 macOS 11.0+ ARM64
SHA-256 checksum
How to use checksums
5dcab0c20edfadb66bdf48c8c3d443ece8d93c3132476f954b85c544a99f373c
BLAKE2b-256 checksum
How to use checksums
50e04b545dcc27a02e578632c6622e2d3729323c07fa1d362756804c5a7d0578
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release files / pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_10_13_x86_64.whl

Download URL pyagrum_nightly-2.0.1.dev202504011743172129-cp310-abi3-macosx_10_13_x86_64.whl
Size 8.1 MB
Tags CPython 3.10 abi3 macOS 10.13+ x86-64
SHA-256 checksum
How to use checksums
15f6b3c1aa14116b7103184c5574cd37e2d3fcec383288573449c248a577a289
BLAKE2b-256 checksum
How to use checksums
1fa4b09c8c275a2cbf4a71d1099119c8dfaacf45a32a39ade9f35e4b94b22ea1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.8.10

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page