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.dev202311291701192974-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311291701192974-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.dev202311291701192974-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.dev202311291701192974-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311291701192974-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.dev202311291701192974-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.dev202311291701192974-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311291701192974-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.dev202311291701192974-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.dev202311291701192974-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311291701192974-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.dev202311291701192974-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.dev202311291701192974-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202311291701192974-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.dev202311291701192974-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.dev202311291701192974-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0592947bbf1cf2857dada0ec4c7919f4f0cf776cdf60676b6433127e32cf125c
MD5 6d4e29dd6f8bfe5ed6e4538a8a8f1f6d
BLAKE2b-256 54dbd09d69e1f1ca4845716c1be4c52a1051b9130ca4be05e74be3ba2864e404

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c3638dd1e524562405f5c51b63872338e25a2057246bc6abc84dc0cfc2091f72
MD5 e7ef9f0555d929202eb84fc3edc16c72
BLAKE2b-256 7b92fa8b3c0cc7ce535a328ddc9ff4ff8f01fc66a91832d1e6eca24246a83272

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a947447f13b4dc442614823a9d54de854144c5f801e72ba8fb3fcc9a38354140
MD5 a11521e7e24b348cbe4799780f46646f
BLAKE2b-256 507fb37f08ecafdc6436ed74471e0084b7dd72c6041fb38c1fc9b06427b28f30

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 4334c14ae73f92e765a9bed612073d29ced95b4ab3487e46139152fec2278536
MD5 60d740c3ad30d8a129fdcd7cf8b8c02f
BLAKE2b-256 1e7280b967e26d946b69c491796f52027274cbac5446312e71d4cec93cdae07e

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 98c5410dde3430c4ed41588dec3d1cf69ad353f3fa4654e615bae12cb5282870
MD5 f952df77ea92541f54f9ec62631af828
BLAKE2b-256 960f15ce02ae77ec9b63b3ea15f54530fc57e797ae165084388a5ae898912eed

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 2acbbed22c87824ed2c7e505b66f3a449c45be65c4f4e5d72e77a505361e40c4
MD5 6ffd8546da31a108c30eb7e95a381ef3
BLAKE2b-256 e3c99507040a5abecef4a4d7bbc7509b70f2884fd473f2d78b0e582f078b1d43

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8ed7f2cc72f073d33d9d5421a7b32a68825ec2963be40f16d066a2508bb2bbed
MD5 d4a7cd5acfa258d9366fcdf0d3c6edc1
BLAKE2b-256 196158c40e66786a67ef8baba46eeba7dc4f45eeecba9885c151fa16f9d67a96

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 c58d6eea9f0765fdf56e2f3ceb639696941c06418e0ae0026daacecb04de161c
MD5 29a52854f9373b1f207ddcd6651955be
BLAKE2b-256 4da08c514638f3ec3ac041bb2897708262082748431aa8fabcbd884e82a85aee

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 e495b70ea64b2bdc249fc1c3a52a6dc02cb353b6f8f5f3c8a81a49c8786ede08
MD5 f9796f5ff9f51bf320c5adf690129f9e
BLAKE2b-256 13a4b87a2483550ac3143d8f96dc8edc671d8123c75d5bc9801d99aba07f1693

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 d93cf0735c9be2b37a5d2af03d70cf137f046700fe63047fbcd5164529c25541
MD5 af12546ff843e23c5f7a13a3f701692f
BLAKE2b-256 4388242e0c955e7486066c32c9695270efff911346c617e01013ec34109b8aa3

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 23d4068211fe5281bc3ed2d6c9677eecf3ba914d1ba3164fef74c34feddc2bf2
MD5 62e02553838ecb03468b7a15819c6873
BLAKE2b-256 efe1a3b529b2686d274db67ec8b576d0148ea919311a370ef1503c9496785292

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 be7620c9e312ddb04050db6dced858aecebce9a80ed8c72f3a06957f554aedf6
MD5 0ecddf12051251a5c5db31ff76d3546f
BLAKE2b-256 dc8165d54caaf5e762cc96accb39053eb9901813c9a2b88214eee2910beacac6

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e4eaea60f62033329af4cbb10abd33010937964f3f33f40a0ff4b88fb26f5ac7
MD5 338c759c340daee9c9c3ab158cad6ea6
BLAKE2b-256 95585c2955b04e430b8cc8bb538481e953d76c8c6a0cd10f81c67aaae2914a3a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 07f7da7058710499d857e8b2076255644faf251c8aed4613c26c46f78227aa91
MD5 6d91a81610905079b54894e225e7bc14
BLAKE2b-256 180e1a6720e4c7c2a01bb2327a5ed0602e1387b86d0df9eec03be62f58ffb11a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 62499c159f5c6040baffd43376e796bd32a7920e1491dd474affbbb36f6b20a0
MD5 3fa8bd1f25a7f074f3f933392570c57d
BLAKE2b-256 06d3f91315ad7568a6208464d6d10555d14d29882703f8fb58ce91147188b886

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 87f5e89739d93a9a5daca92b7e937c32887afbc98b1d4f05b05beb6fde10e27b
MD5 ddfaf8bef1c8c38657168e8bf55ec5d7
BLAKE2b-256 c408ade438b67b4d9af7b9dc8ac72320ff19702a61f11069c6f88e173d62555a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 34308c77446c04148b4a7780629f5ee49ac7e31e22510fe308659d2d37c9c0ce
MD5 365275a69ff5859bdb19ebaabe5fe10e
BLAKE2b-256 dc6503e71d2c517e7fb0338e8f29a5829e9db6d5e409d95928cbbcae431e698a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1d52911c9da62175d5fe2a7cc3525796c3c2a4c52d767592547e858e7d67cf02
MD5 40f568d1461b1d1b1beb0e677423b973
BLAKE2b-256 f8767ff80bb623da0423fc678842a22f762ec2dff3685910f9c92378dec06861

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 3bf5757a08dc32f52de4bcb9bd5e342274bb04e471ae5350aec2864666d227db
MD5 78b27995f57c1d9ab6747dde5ab151bc
BLAKE2b-256 4f1791101132958fcb83d92590d7c70709e69e6d886149b34af4e154ff8ebe1d

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 f8e365e5653d76173a1e516d831c47ae8e98b7fd0405eb13680e0907f96c52a5
MD5 21fa5de76e512ec36f57fbb2d3a0c5ec
BLAKE2b-256 69f91a680fd88cdf3eba1446e65a50d4daa91388542e43ebc225ecc69167929e

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 47b03fef8c22f58ac6067f75009c4855b9156a688b1f24740751677b1b450a03
MD5 10a1ecd48112eafcbbe2602314ae7c06
BLAKE2b-256 58104cde2aff0f94ae8c752b53fee33538da5b9f89f8e5c4726a54c76510b574

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f9d99c9bf6c8356347d57d8a5bb6bf63afca4595d447dad0bff7bf29eae67277
MD5 329801341a257efc82ceec67b1924a20
BLAKE2b-256 554afcd3d4c5be20d12b3aff4afab3f61624e838367b11fa6dcca25d1ea76ee9

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 61e47fa5cd66009b4fdf88b4d1febea3f621b7f868728cafa1647ac85451fdf9
MD5 0623c1fc18b4f127f40cbc138c8b5673
BLAKE2b-256 c12820c1b6032e11e9a73c09e274ede3004ad45a7d22319126ff1ac1dbc95f4c

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 bff98d21bc5d8a54fa82b67d0685738d29f292e0ea867a763719079626edd72e
MD5 1498755b5ef5743ee8d37f9d65ce30aa
BLAKE2b-256 fb78f1125bd2fe89f9f5eaab970f07a611a11412dbea21a6f9d232014df9d7d2

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202311291701192974-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 431b6dbe394436a822ad7327fe43ba0c494603b21f221c5cf2cf2e7ac78ffad6
MD5 29d60049449378a7268523a136d1cc68
BLAKE2b-256 87bd49faa47f777491bf31e5e9cd325446382c02d8cb217c1570950f15c5966b

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