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.
Maintainers
Lionel Torti
Gaspard Ducamp
1 maintainer
Metadata
1 maintainer
Release files for pyAgrum-nightly 3.3.2.dev202611021793111847
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 33.4 MB
Release files / pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-win_amd64.whl
| Download URL | pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-win_amd64.whl |
|---|---|
| Size | 6.7 MB |
| Tags | CPython 3.10 Windows x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
b9afa4f203bac2b14dc9f205536925015043044e447246a92fe06d770619d549
|
|
BLAKE2b-256 checksum How to use checksums |
8f75a3d7f67460bf2b69833a0181049b3d4b4b2c5312005f0fdacef5872a01ec
|
| 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-3.3.2.dev202611021793111847-cp310-abi3-manylinux2014_x86_64.whl
| Download URL | pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-manylinux2014_x86_64.whl |
|---|---|
| Size | 8.1 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
bc2cd94346d728f3164f42d0b19ca1c196a43f71d503ca6606476f05b3584b0e
|
|
BLAKE2b-256 checksum How to use checksums |
00f273d5515edc365224e48575a8765bf4ef0de3dd805aac776c221b24c0f199
|
| 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-3.3.2.dev202611021793111847-cp310-abi3-manylinux2014_aarch64.whl
| Download URL | pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-manylinux2014_aarch64.whl |
|---|---|
| Size | 7.3 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
5c65dc02426746772db71550a3c8ed1ec9f182236b688eeaf30f9c07d3fa7216
|
|
BLAKE2b-256 checksum How to use checksums |
a90a8678687367194581411fcb3b33b6d46c2bf80ca58e1607e6be3e689fdd24
|
| 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-3.3.2.dev202611021793111847-cp310-abi3-macosx_11_0_arm64.whl
| Download URL | pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-macosx_11_0_arm64.whl |
|---|---|
| Size | 5.3 MB |
| Tags | CPython 3.10 abi3 macOS 11.0+ ARM64 |
|
SHA-256 checksum How to use checksums |
26f6a3c3d9a55bb3afcd3573bead2938e234bcecc393055d1f0a5b489f136546
|
|
BLAKE2b-256 checksum How to use checksums |
030f7e21f5b72c567b55dcc28faa9576c3ae92c7503fdcdcd22bf2ddd1da6c69
|
| 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-3.3.2.dev202611021793111847-cp310-abi3-macosx_10_15_x86_64.whl
| Download URL | pyagrum_nightly-3.3.2.dev202611021793111847-cp310-abi3-macosx_10_15_x86_64.whl |
|---|---|
| Size | 6.0 MB |
| Tags | CPython 3.10 abi3 macOS 10.15+ x86-64 |
|
SHA-256 checksum How to use checksums |
f019c680d86fa4857305450b0beeed090f5d2c1cdd0f48551f19635508ca4d02
|
|
BLAKE2b-256 checksum How to use checksums |
767477bc34d80e843fea5ae964173aa4eb29049b4185cd1a12dead4a68880258
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.8.10
|
Security for pyAgrum-nightly 3.3.2.dev202611021793111847
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
