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.dev202312201702974667-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312201702974667-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.dev202312201702974667-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.dev202312201702974667-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312201702974667-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.dev202312201702974667-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.dev202312201702974667-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312201702974667-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.dev202312201702974667-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.dev202312201702974667-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312201702974667-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.dev202312201702974667-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.dev202312201702974667-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312201702974667-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.dev202312201702974667-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.dev202312201702974667-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 d96d16e7290746bca3066733478a704a0f4c180db4ff9c1d7ab24305ba90f0bc
MD5 44e113760221d653b707b4ab8e5c1459
BLAKE2b-256 4b3f5176985b09094e42184c163448488bfda3c478b48b40eeba356728fd52bf

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 45d37871f61ad1b74408f1fb7c2804e92d0df50ca226a935bee6e46f04ca6a5b
MD5 e8e7acc09184096fe2d83564e8daff14
BLAKE2b-256 451a3d89b2c265e4199051084c2cd8153516750b60bc1a3a3d0018891dc4af9a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 3736c5b3e6182048417d6cf750e1ab1de9cd02630f5894d7cbde3af082aacd49
MD5 181b0440577c2512dab425303474e3ba
BLAKE2b-256 28c4ce6f8b4efae81d368aede2df6fbf09853a5753fb14a4a5dba09c19cca090

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0212017aff04031aa656a67bd3a8309d5185d442f5b6c6a1037adbdbdf98fe32
MD5 43add6a3ca289c019eaef4e730d046c8
BLAKE2b-256 c39587f26f6745b2d6e2201d49b52e68aded4d512d5a35f7439eabd05ee2abf8

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 9c693e400cd7b85ed97c775bb38649f03e025d7e8f3197b74048bffef527f82d
MD5 43a4b9015514188658d4592c366efbfb
BLAKE2b-256 0db670d32837053195722568c9d11e9f8b0b573f768d846ea1f74eba386d5c57

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 a34f80eda261dc7b9f77345511c84cbd4debc2d343559aa931d74262aeabf22f
MD5 a6bbd86d643851a11b4ac429977db7c9
BLAKE2b-256 b509ea937c5792f77c66063cc26090bd9a7b3b62f855d41ac1724cd29c97be22

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e2700e1db785cd3e344a7f74560d597d54310866efb4b33238a6216334c482fc
MD5 49f63da2f9a50a841be4d352083e59a5
BLAKE2b-256 0dcf4dfd5d9968ebdc14f3e064d9ec822950fdcbf0eccd324623fa7e122f7374

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 631a0ed708a05eed61c73d7aa7069e785bd1c188c92dbadc607a30ba5a7739c8
MD5 94f02b5f1b81b4703bc92b4af280f6a8
BLAKE2b-256 3dd2eb9de8bce48c0a12822e005ef0481c011b3ad1d95641dd66f49b31011cf4

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 7a5bd9f7c2b9eb1c486dfae7faf450b96a6a2fbc45276dac344c016cfe0ae7ef
MD5 87c9a004a087cdf286f0304a1de474e9
BLAKE2b-256 82c495b8d9a73adea044c2d1f1e80ddc01f22851deda9fe9131345ab27f796e7

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 15a480c0014c656588ec9431818ab8180c85b385d3d96797bd4cead5cd6e4265
MD5 69cb92060d531570199d97410b1691f1
BLAKE2b-256 9d499c78049d49fa13385c4f70a247c980118831dd51304223b4357851be4687

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b92146ee6ec3fd24c073bfb084ff6b0627b436a19ba60f75a3c2accadaeb7bcd
MD5 c8ae923792a19553a8db9c937c38944e
BLAKE2b-256 3551a65297a0c61506a52e498b0203a827eb8d69bb21e2306f4833972b56d542

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 7f0d534dc579cb8f3fe7e53e049097feca9a6b95d6f9524920e3ff2e082f1cd8
MD5 7ba52b4acd756f32e7096208285d862a
BLAKE2b-256 9305ea013b6aaa3492b00ba6c79ef0aaf4d155cf77a64c8b61b3d118f214a6e4

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e7a3170cac090875d37be9999c43d33e3f44303e4b3cdd0daf2a34e4bffa3605
MD5 130e5433c09acc5ebdc794ad55ac2879
BLAKE2b-256 2c03d2ecbcc33a270f62fd9c9464bc013dda30087bf53d375dc1372ef1945d96

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2dac819d20f7ce7bcb4284747ea5ec7dfd1c85908ec316cb0c2e8a0713c464ff
MD5 237f8d84da2c72610c927467112b2eb0
BLAKE2b-256 a54349d9c7fd326fd9e04e60dcdf621880056abd4ea1d5096ae65823ca649c38

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 1dbbbfef44305c8e8222cdf7086fa439033287c4d22704e88028a26fa96abf2f
MD5 684bb24f91cec742e67765cce210f104
BLAKE2b-256 f299db866a7f171838ccac3df1fe66b86a71bf36595440343376ea731a65a2e6

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 5f17534491370c4baf30508c9079cca6b3de977714acb685502d960423ebcb5e
MD5 5c4bb823bb1005a768f38d0d15fba29a
BLAKE2b-256 7703b529660b7fb5f1c75f6d1d1efa53fa2adafb18cae0311afc480b14a2a590

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5319b1a65270f9962baca46b50b10caedd1aa523737bb0c3c56d4600ada77aa6
MD5 28bc7c28bd939b44ef87c2e4d5ca9ff1
BLAKE2b-256 7f4e06cf238921080fad5794884c2c3fa2590594f92d2d0a2bfd1e058f47d109

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 306f6ff5119aa809e305439c47b9dc4b92c3a17a33962d3d5a81ccfbe316bb83
MD5 b23dec7addb30a049751bd2eaac743e3
BLAKE2b-256 9fe0f945852710b2b3b6c8a379e3b89a8594c75c5bdf30a6b480cc2335ef5877

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 8e3b6560ae3ba7da1158fcb11f2fc3a30fac262994971e576543f86a72405241
MD5 2e5f08c5aa482f4101a03875fe168bf7
BLAKE2b-256 7495ddee64c61f3663aa024dcb102020bb428a0ec1a64f45cf4060c14be87f35

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 00c0f734be60f7b9406926f783979a65be2ebaacb4821885e703dd366d72456d
MD5 cda025d87ccd9f089460bf6fa46ea11e
BLAKE2b-256 7cb16a6332cdd8dd564b5f240ef8df12a6b990d25dcd229aa0c574f6999905a7

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 c47f71bdda8086be6bce4fd373b805418da04b6d724ef3e738870fa8ae70bf94
MD5 a6eb7671a4add2f47f704bb8c46299fe
BLAKE2b-256 4320e3d06fb0d9f7b3a34d53f8807c819896c5402dec03c778037e9a8b14d18b

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f9231918fb9cf93d89c41974a8acf7ec1614ef02b916307186efadac75f7403
MD5 b2e601d9f9433c448882131bf2b9ff22
BLAKE2b-256 ca54131a2b1a9e2e96c1fa2941fc44070497599252c1d2fd166ad952778c62a3

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7e45792353b849acd3842b29ac7607f42b0c1da08e2a91fa9a1cd1944c103b3e
MD5 43700cd359ea0354d04d6883e967ca00
BLAKE2b-256 9aac367b36ba76fd14e4708fb599c81a1cce0893fc61d260813a3c98419dea2a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 02cc5942a8dc37677548d035e64d2a3944e4b89d24e0c36846285e52e48cd96a
MD5 6f8c1c8052753bd21f3c6f7f73ce75b5
BLAKE2b-256 2602977b1c15321790d5b5bb1cb982be0dc3b587620e31ae540a746779334575

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312201702974667-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 22b62c1faa34d5a3ed9156e58fd588892a59ff2e3f4d87188efde814ab6fe075
MD5 a53b3aa7ac5b42b9d71608c796baf98e
BLAKE2b-256 cd4964877b24742e1f7a77537641a8734d49b772e117caa193b8efcb3def9a8a

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