Skip to main content

Bayesian networks and other Probabilistic Graphical Models.

Project description

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.

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_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_11_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_10_9_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.12macOS 10.9+ x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_11_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_10_9_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.11macOS 10.9+ x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_11_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_10_9_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.10macOS 10.9+ x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_11_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_10_9_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.9macOS 10.9+ x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_11_0_arm64.whl (4.1 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_10_9_x86_64.whl (4.3 MB view details)

Uploaded CPython 3.8macOS 10.9+ x86-64

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 afeddb70081512f6f93772fceff1d3480a890a4ed53931bfce88e2e562a1c612
MD5 23369b7badc1fc337278f62db79d5c66
BLAKE2b-256 a96dc0345f0de3eb34a69087ff1b3ee93e019a369faae1fa9b39777f465ce36e

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 afb09d9aa67bfe3a3e3261439a73ddd6c72e06327802300e1118643cffef9ff1
MD5 a31d68d41fcbe5dbda2f8c088b1195f8
BLAKE2b-256 f9f58559264a5be159ee97e2dcfdcb66e23a0f00f1946d3b1cb96cea2dd16f29

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 59b617e1258ec57aae87ee2f1cd0ee9ba971144d6a0884aee706aee960898f35
MD5 b71868f1dec77ab7dd066b2a69224106
BLAKE2b-256 fdd286614e4d77ae71665ba079ae09ed09b87b9a3ccc8f0e414aebc3d75d3f82

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 f81f19c29adc33d006a29ecb52d82444dc3b367102c0218a490de50aa6d79d83
MD5 7b91c656bcca43c10502973a54ff3c2f
BLAKE2b-256 d6b56a6c295095884829310fec9f41c84ada09a9c03578006e26cd5fae08487a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9f9445b8d107c716a84897aa41f42b644ec1cd6590105fa000f29a4a21834723
MD5 d30d764c75eb8596598f213bc0169e07
BLAKE2b-256 402150886e78a84363219a018470663b49c566ced9471d3e53ddaa74ce29aa68

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 0770f97420d60fcd0a9cb1bc1d2cf66a21490c17668cd1f6057171ccd7512373
MD5 99bcc959a735ef25887efa91e5a35693
BLAKE2b-256 8399a06d118d4dbc92002b2ababc227dbac50e780c0048a1f20ff2dad3db0e6c

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d734e51bf014f70becd863fa5fb51d10bc794205e6582f12d10b3e74adba7b5f
MD5 93449a57527a1b9cc3941ff1cfdd0024
BLAKE2b-256 9de4dd1186bdf08f853c9d10e3bf44fde60e00cf106307b14a94883510ac763d

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 527f80b97835ae4b549e02b6389bf06af0f0200ec0fc59eedfc3924ec05aeaa7
MD5 ce7d9f929b262e589e0a3ed31f556d92
BLAKE2b-256 02d7914f39c603b70f18386daf13fa01a936a0c07630525b3016127b343144ae

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 552b08be846b8b3947fa54eea774fe3aacce26114b4d2f7c4db00b9581756ef5
MD5 e24369eb334064a5b0a974e36cd34246
BLAKE2b-256 443d338097aec697f45c7ed552cd9d8de952e4e5647df6f14c600a5fca5483b5

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b50866bcffe25c263a909e2b6c44149dbeb644af6d0e2f95e74cd26844ef3dbe
MD5 a11fab43d331e6229a916860152aa81e
BLAKE2b-256 44c263d5c72b36521ef1e984d2414b137b1529983c4b3bc082bc7ff9ab36be6a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 055f1a08e866c887a65ea9c47f925b85a39a2ab760b1551a3be40beddc860288
MD5 53f373dca355a3d4a597fc88025c6d88
BLAKE2b-256 335437903c960ebd0446109d9609c2ba04decd9ccc3bd1413b546ff0320dac17

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5b473a8198559ee5e32e09fbe3a1a65b318c14025103d963de4f97817a6bc412
MD5 343e13e5d91cfb1c06244a0a0286514a
BLAKE2b-256 e6edbbd911c7c19737519a0eebd435d0bfd41f9819d69fb62874a1807f060fd8

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d824dc7bf9887351739e152d4b05c4c60c3f4f4bf3d42f347bda4e66dc992d5b
MD5 827ab90cbeaae7df7fb0de3e406406ee
BLAKE2b-256 3889fa3369e130ff1f5d3818724950a936e466cdae60e5381b1d9e9969553c29

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7c58e0880abf5701091b98be8318912e784ede5e41c56b25e63c1b85886b664d
MD5 8b86f57c2634fc43d459683c0ca5e57a
BLAKE2b-256 f7f58b397f4ae30b548df04038db08f926a5a78636b3ba0779d1d7e38672c32f

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 2df6bc66c5ec84d4047bb9fa66a7df2862eb9fca749ee513b36c0ced82fb6f46
MD5 c57265d57c4f0430c9e3ab95669d2843
BLAKE2b-256 01186537d01395f45ca06c960d64dd2da8593219e150d41195a846c330de832b

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ec16b119ba8eb367224a23aeb2b16051bcc86da978250b7d3aad0113ca1a720b
MD5 c1d61f9f2a4d96c1949ef215d47264ec
BLAKE2b-256 344a351f72021234a6c692a347880c3a918c72b8ccbfa08d5e466be192c26ba6

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 118f4500f4d55d848c567e01dc9c2649ca45f6561effeadef69060fd6e4d4310
MD5 0accec20b104561016c7eb45e488c66f
BLAKE2b-256 4b0ff0e6b051c5b8a929ef8e07cb259d6266d3829453f7ca19299f0bd406c21b

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 5e7523e9438be5837696e2628cbd89e387d4350db2d1db08b43c6e8f1e865791
MD5 d7c4fb07edfeb8cac4f9207b0f4b8eb7
BLAKE2b-256 1df8d3990a603a8977b90ecf81f68fcd652089fe73a715fc42f7295473422226

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dce12d0c016f5a4b2c9273bbac047406bf0e534b5bc79c15806dd531df767ca6
MD5 cf154b25dd81be0625c8ba430ad91a89
BLAKE2b-256 f859a83a4694721aacd7e26774cbb322b269bced67c1659de471e30ed8a95042

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 a0a7596eb943b29654bcda8a8861349e911a167aa96c8e884dfa2a8c62801a19
MD5 e97341e2d28d2ba7200ca5fae147e850
BLAKE2b-256 bf205c587c55841a062f420994e217072eaa3e88f5bb7be66df1c63a3bb51a93

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 a1aba8ca352e1f08c69f339401d556fc2b44c3498f77a1866d892e4377650dee
MD5 fb94dd08fc42eca6f8e8823e814adbe6
BLAKE2b-256 29b3ea01cd471ca24652c3dad0d3ae8a63bbe57cde38ee791c853be05947a24e

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d49ff4d6928ae1365e7c823913a84c74c435d65f7f1364fd4699e0c70816bbc5
MD5 f7bdc8bd14cc3a340ec5907bac929274
BLAKE2b-256 680255e84cbbcc129318953c586d77ec68b810fbb97933c6c7867252c6c4ed33

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0bd8d2e2f4af87bee74a0c75f56c1a078431e8b8cd5d5d5f81739dbc8e6eb3f4
MD5 77a3ef61da60bf0cef001c3478416457
BLAKE2b-256 c0ea192924db4580a87f0e4f8fd160b43f74ea6175d33a7013ee59be124898ed

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 626c08ad7112127bfac6754785fe0a969c94b50a69cecc1319c22af67648c23e
MD5 4c07202c15797662c690739137b117b1
BLAKE2b-256 5183e0db98b22695b23cbc8cd86b366c220e52eda0d1d8e92099223ea10a1379

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311131697830144-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d2e38efb521c3a908ab5a4f1c740824dbc00d0b35cd73762d86589e3eb659c19
MD5 0ecf6c6996d4d4757fa30d1e0e1bac52
BLAKE2b-256 6a165d2ec05cbd4366f106e5bb11787fd77bf7926fbc521c5c51bf7896e884f7

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