Skip to main content

pyAgrum is a Python wrapper for the C++ aGrUM library

Project description

pyAgrum

pyAgrum is a Python wrapper for the Agrum library, to make flexible and scalable probabilistic graphical models for inference and diagnosis.

Sample code:

import pyAgrum as gum

bn=gum.BayesNet('WaterSprinkler')
print(bn)

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 ?',2))
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)
# 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)[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)[1,0,:] = [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 evidence
ie.setEvidence({'s': 1, 'c': 0})
ie.makeInference()
print(ie.posterior(w))
ie.setEvidence({'s': [0, 1], 'c': [1, 0]})
ie.makeInference()
print(ie.posterior(w))

LICENSE

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

This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.

Authors

  • Pierre-Henri Wuillemin

  • Christophe Gonzales

Maintainers

  • Lionel Torti

Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

pyAgrum-0.13.0.1-cp36-cp36m-win_amd64.whl (2.3 MB view details)

Uploaded CPython 3.6mWindows x86-64

pyAgrum-0.13.0.1-cp36-cp36m-win32.whl (1.7 MB view details)

Uploaded CPython 3.6mWindows x86

pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.6m

pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 3.6m

pyAgrum-0.13.0.1-cp36-cp36m-macosx_10_13_x86_64.whl (3.8 MB view details)

Uploaded CPython 3.6mmacOS 10.13+ x86-64

pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.5m

pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 3.5m

pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.4m

pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 3.4m

pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_x86_64.whl (12.6 MB view details)

Uploaded CPython 3.3m

pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 3.3m

pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_x86_64.whl (12.6 MB view details)

Uploaded CPython 2.7mu

pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 2.7mu

pyAgrum-0.13.0.1-cp27-cp27m-win_amd64.whl (2.3 MB view details)

Uploaded CPython 2.7mWindows x86-64

pyAgrum-0.13.0.1-cp27-cp27m-win32.whl (1.7 MB view details)

Uploaded CPython 2.7mWindows x86

pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_x86_64.whl (12.5 MB view details)

Uploaded CPython 2.7m

pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_i686.whl (12.1 MB view details)

Uploaded CPython 2.7m

pyAgrum-0.13.0.1-cp27-cp27m-macosx_10_13_intel.whl (3.8 MB view details)

Uploaded CPython 2.7mmacOS 10.13+ Intel (x86-64, i386)

File details

Details for the file pyAgrum-0.13.0.1-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e7922e60210178a1f32dfedf032473df8f91c557000f8b3b9963fa95b575df60
MD5 bcedac20e43bab7642c4462b9fc2e11b
BLAKE2b-256 6ad8931c867576f2da854b4d318d92aa8dd76d8df81b4df1c70b0c38d87ea25d

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp36-cp36m-win32.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 94eeeabbe79a140f20276a2a780f809f62aa20ce9ec86fd1f77e5078e208d88b
MD5 ebb4981ef9053f9cf788119d310c4c54
BLAKE2b-256 f61d8681622016dba6879a4e943fca22576b5825074c1d5e475d0250e9775b7d

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 e7ee3e91cadbff5d63c543d4f01772f2bea33659f680688f1bce7930a074dc7a
MD5 ba8c173f1da2997e897de3f2adf5a714
BLAKE2b-256 a069cc19c90d0d8d8f479ed466a2b675e1e824fc675139306683e70312f7539f

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp36-cp36m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 2868ecb0a47a3e452dbb27bcabb3cc1b0a8cf1d31b0db6d69097865cf04d6097
MD5 52938ca8f53274edef34e9c1e43467b9
BLAKE2b-256 0c198b069d740d9a67290b1962862bf31764017216f944757e9f9703d93457d4

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cac86513fc0f4dd10bf928f867abdb7048daef37a2e856fe4a6377bc418ef43c
MD5 69d4464145f055878884d3368e38639d
BLAKE2b-256 d531ad16574bb8f5892843a0410bef022ce0004fcf1543c7c4d58585bb136a91

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 68bb2c4e3840c2449d87335778d8ea529cf076922cec887501f3d06eb9177c88
MD5 44ea8c7a35cb0b5628e0ac2d3f10519a
BLAKE2b-256 b4ba67278198ef22c3d6da0daad7ae03d67299cabbc318394f4b7ecd6ac42919

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp35-cp35m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 489ab440e7e71cb96358b5ab2072f0419d39a52b6929a65052ff6f418d122588
MD5 0c19db7e0854e35a205a91da51994d07
BLAKE2b-256 45ebcf1cf1ed35b7b9366e13467813eed41f2ed3ae5884425c7a98799f03eb7a

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 be99c2fa47810c902af4218f4b3e2efda2431db60726a2d9f1d9c93b49319a15
MD5 ac0613136ff04ca847c61e495c689162
BLAKE2b-256 ba43362f3f3a1133f5ba5f4ea7a91d00f1b6c58d6b8e2a26392d29f919a68606

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp34-cp34m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 d64ac38a00b06b78ac59ad2b839d97fc9cf68b7f49a8723aa5a613d4aab19222
MD5 7346a2d3231c3f66bfbbc9ea44320518
BLAKE2b-256 6a904a61d2f5f3612fa95ba97a44da7a848c0b5cfa36479063fa703e6d695b08

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 769177dd328c0c2cbcbb4bca13d3df078d2f015ee03eea4627fa35796d3d3748
MD5 bb8e787b424cfd11d42430bb2b8edea5
BLAKE2b-256 4134040357a6b3b2c38338d9851b515cf0a6d220f055276a9c8ca28e9453fc29

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp33-cp33m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 37b195f98a22fe541ef377722c822e8e0bbebab1872d8fded74157934f9b18e5
MD5 7460643bae2e3d083d4957d9535152ee
BLAKE2b-256 cc2410bd1d6eeb8e23e3723f26c0125bca2f88eb29c6ac48f846d311478548ea

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 8d66245465c7c8a34492e685d47f29dc3b0de6d594f84e6a748d105b0759711c
MD5 8512453a4e1d92570470f05a7e5c16c3
BLAKE2b-256 e63ce3af2fb34dc3ecca9723e951ae5875f1aefaf0a924f82a18db480afe5478

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27mu-manylinux1_i686.whl
Algorithm Hash digest
SHA256 9d6868e27d6c9c94bb777d547de8fd09b8a76ed92a95fc231e8fb747a0d32770
MD5 2afd69703ab692e3c651565b6c81dd59
BLAKE2b-256 cf2cbebd3f2df6bb97604fe7ef5a02bad50135d77ab2bf5de39305a3cc44467f

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27m-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 40677fde98ca85a04540608a1cf4d8cc0bfce599bbbf9a80c81fcbf238dacee0
MD5 ccb0ced3157c1282635edc9597a91783
BLAKE2b-256 e05c22acb6e16edfa5fc9786fde720a248c015aec3b8228fb01c52af2fce0bfa

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27m-win32.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27m-win32.whl
Algorithm Hash digest
SHA256 5a44a6c486527b8c183a9bb54984efdb59cf8cb4e6d695bf9efed823040bbe16
MD5 01abf2c2f2538d13c9767bbb28a8771d
BLAKE2b-256 efbff7b6cb1524d2e1e7c6683810c659fd2c71992a6513ae81affc700a5f153c

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 3364a4b15decb6cd1f9f5d3c73d48f6c697560cc92df51d09c880a8f60b4480f
MD5 ab41389b2ad0df97e8e1316f013cdf80
BLAKE2b-256 2c29d0022f584b03424de59c5abb89702c31a3aab71c5d7fb523071faea16934

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_i686.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27m-manylinux1_i686.whl
Algorithm Hash digest
SHA256 eaf059073eca6b3b25f44a7e13aea4a42a619f35824d9e324ef471939b11ae16
MD5 6ca5cd830cd04749216434a8029df3e4
BLAKE2b-256 0c32ea1d83c62386ffad0fa3b23cbe7e5a8e173b8a2714481a27f9a83f87ea5b

See more details on using hashes here.

File details

Details for the file pyAgrum-0.13.0.1-cp27-cp27m-macosx_10_13_intel.whl.

File metadata

File hashes

Hashes for pyAgrum-0.13.0.1-cp27-cp27m-macosx_10_13_intel.whl
Algorithm Hash digest
SHA256 e4e84db0da2531f8bbd2a001129aa3027605625cfd27dddcd863f882bbdefe1b
MD5 2d201dea94c6a4b1ae746583c275d8a1
BLAKE2b-256 b39a289c98c1db1f802eb38e1bd08a492e5226a1427ef5f5f9786be80f42f461

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page