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.dev202312271702974667-cp312-cp312-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.12Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312271702974667-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.dev202312271702974667-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.dev202312271702974667-cp311-cp311-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.11Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312271702974667-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.dev202312271702974667-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.dev202312271702974667-cp310-cp310-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.10Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312271702974667-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.dev202312271702974667-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.dev202312271702974667-cp39-cp39-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.9Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312271702974667-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.dev202312271702974667-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.dev202312271702974667-cp38-cp38-win_amd64.whl (2.6 MB view details)

Uploaded CPython 3.8Windows x86-64

pyAgrum_nightly-1.10.0.9.dev202312271702974667-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.dev202312271702974667-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.dev202312271702974667-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 ffd8e778550652a98ec53ed96d41b6201f118bfc8a1595e6082f297264062e1b
MD5 7ae221a0377144743a3f0ad7b8df52ab
BLAKE2b-256 769ed26d10947525d7f0399184b86d01e51b639d2750ea7ef631d9889ad5efbf

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 aafbc631f8eb36c8d0a412157048b87f93782c004f61ee75f9905a764d4902be
MD5 df695ed32507ccc2bb3d0fb7b36fea56
BLAKE2b-256 9b1a3e767b3f51af072bb9a1dd7c39e47a2a31e2be3957f452e99b9cee15a934

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 a4b5831f491d08b1cb1f0c33e0007e30d2219321c45297e4a2844e596e0e2ba0
MD5 f62a22e3e1a4cfc0fa9f3cf0247ca207
BLAKE2b-256 384e460f85ceaa1c891acf568164b991cbc30bb4aa83c3511b8671b755a9bebc

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 644164a7ba63986764d2c596a6b0c03c3e4750ce452e6cbb96e7c4e78df2dce3
MD5 7a40a30fea017141d3f4eacbd54fa778
BLAKE2b-256 bc9a1ccab29634ec16f8c32b316e2f5f3a48e855580b628dcc362040c1af0ccf

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp312-cp312-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0cb24144762d2987ac3c8206567b46697024f6c467cbc2a19d8305049483b91c
MD5 84ddae4e89a7af693befaf5776cf9030
BLAKE2b-256 22f4b9a0a952828b8ae3ee950439151cffa243e8191a5f28f54e114bcc1443d5

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 23f414f073e50a1cb647ee121b54c507b06e0331b5ac0cf61128003342165735
MD5 cd5f05d2b29bf84b33584423d4193a2c
BLAKE2b-256 f093e6f127fdfef904ebd2d7638ab0513065abd2b4d631ea903baeae5811acc1

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 eb3d0deef638d8beaccc5246354f4ff448a16ecdead9e22f9d691ba06b674fec
MD5 9807d588d88f719238e9fc43b42be8e1
BLAKE2b-256 4941eb6c90e874163d353136f4d1b8dfc7b1bf10dba1e5609cf43b934d5dc46b

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f05f8987b01f17c50f52d84d3e0d7de2307cf8f8f0b0a350b82651e06f7e6852
MD5 35920a1b559eb4d017180b622b115355
BLAKE2b-256 b5e15e002fa127d0f26f78eae441e93ff5de0886b6f5e0ee1a95147134fd196f

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 614adab698d76463e9fbaf540619e285562c65edecefe725dfc21ed769aa9d3f
MD5 da7e2da9006664e7bcc22bffa19cca8e
BLAKE2b-256 c1bdf73bc202c5819ed6364284c2b5357c4dd67415a82eb652479c59b555ce2e

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp311-cp311-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 939bfcfdfaa3d586ec1e150062403cac8c56f5f7981f6c0604616d3226dc6eec
MD5 53c1afd144cc315c75bd7f29791ae739
BLAKE2b-256 d1d49452507c100899ed8e7f8168c0ed105df7f83dc287c505f0f156186253c7

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 d960dc365bbee8f34cb2b7b05dbdac5b54ba09e00021273399ec47ae03b17cb7
MD5 1c6f3b8662541b717576f0eb1d9fd0fc
BLAKE2b-256 63ed046823e32ab0a2e0c4f067f7007de6795b724003f916a19cd7c711fd93a5

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 c8e43c04cc5fe30e4d0fe50e1457aef1c381fc918cfab45ed475c879569e71f6
MD5 3feb7ed364c993be1c88c01798d30d52
BLAKE2b-256 d8ed6809e9a4726d36b78f2027adebde26d2b0f12b94522bcae39a04b54466ab

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6f22c3d63c6b7e83f6845d6d0f0bc9ec11929344c8ba698f410a82aa2ade828c
MD5 7063d13101e71830f0e0aebb364d5879
BLAKE2b-256 e981121e8e09244febfd64edbe743c9eaea9de998cbce2aa7cb12f09f7331f86

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 9e1f47e2182354de8e7252dedb1c9f1a05f355687015bcdd6814277e1855146a
MD5 02094c4cde770b515e0520ba75d3e053
BLAKE2b-256 17ab221bd2fe8dd07bcecb16caff6c33704537acc1c76748b32f8b88b6c13091

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp310-cp310-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 67b3fd1695b38b9451a5f47178abe3d0b3bb301f52867ef698b059d04a9ea42e
MD5 33905db71e44126733e54b87b4d07472
BLAKE2b-256 53a120d21087ee33493ec9a4d596de621ee890835aaa2d7bd2c35bfb32ad610a

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ab675249dc5b64a88e646228c81355b26648dbb4047193338cfaa3a3a7966f9d
MD5 7a9d9305a2bec8eea6d9c2110fba1bbc
BLAKE2b-256 6c9a7dafc98448962309f5b243c0c56b4ada9e2addcb3381ff24f3ef0b1c2db7

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b08c430da8a8fcc6e8d35309b9f6462acac17f69939749a93dbd0ecf4232007d
MD5 decbbc35d1e3a093b2c87625eec60f90
BLAKE2b-256 6015e0f35aa0c6530da728e0e3ecc72d842caf9ef64380e9c1fdf9d45f611dbf

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 89273a88b9c0d617f298f8e0bac319d58dca9c104510a86adfe38b30f8aa4c44
MD5 e3004a12625c7057e8a9c165f286bc87
BLAKE2b-256 6ebae6d073a090da0c860b3a655a8cdd1354ef8ea811962b73a6e52f7951de63

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 62e5d23835eb3f3f80b391004e5e6626c92eb357c7a96b767142ce2a8b89c668
MD5 205a198cdc2cde791b7069261585a199
BLAKE2b-256 523269581d42cc1c230b44156e1680e729150e8e9aeefe1c5319887fde1adb8c

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 fd0ccf58c9d2ae01ee321cde7c1562179b7828fcbad3dc5a8fa8ff1e7b326819
MD5 528544db084ad6878d553561257ebb48
BLAKE2b-256 6d1d607a2d70d811b1095b035c29d5d5e388dd19bd755fea92b0b941f3b54ed0

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1afddc7045ad6955d0af5b1c2c0f7c854c82a898ff88265b5fc0259857278ede
MD5 46edf6f560aa3816248188b26a5ffa05
BLAKE2b-256 e83bbbfdd6214eda34f8f641b7012135fa3cd3b5f620b5de615982804233c6ab

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 8c558fe0f8f9ef4a5943bd7e709dc4ae6a7a1395b97967e615799df95cccf53f
MD5 73e4a21ee571d7f69cd5cf7cccb31cda
BLAKE2b-256 88cdeb1467ab3547ff87b77449f72f539e1e19a66f5811fdbbafb5969f14263d

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0248ab65cf4f9ec6ed9f6dcc7ad2ef50062dbc5af9f0ea698fed9808e19efe05
MD5 9c50dcff651e68bd5c00e2d29786ba46
BLAKE2b-256 722dfebb06af4c0b7c5415391729787b35a26ee88799798d7443e16178785208

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 291355e4247e43e18f8e6e34d0c6a5de6bbb10fbdaaaeccb02ca641a3d1ee6d1
MD5 a017e5ca7c67e55157edb6a57b000275
BLAKE2b-256 d64dc349e6d0a0066d8a7608b9e0f07f0220492d2b60ec72a720a1039516aee4

See more details on using hashes here.

File details

Details for the file pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for pyAgrum_nightly-1.10.0.9.dev202312271702974667-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 16b2e7834284e16b22ca28acc5d4f98ed4808aa9b7e33a20f265ee5580d469bc
MD5 f24524b5ab3589c8de10cece18ebac2e
BLAKE2b-256 facf6b6b5fe1a3269e82105fb2ae95e374bdb616cd1660fc07e5a83f4906c525

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