Skip to main content

Provides high level functions to access the main functionality of pracmln.

Project description

High Level Markov Logic Network

This package provides high level functions to access the main functionality of pracmln. This package allows to create databases for markov logic networks and to load PRACMLN project to be able to infer from those databases. This packages provides also support for the creation of is_a predicates which can be used for the application of fuzzy markov logic networks.

Project details


Download files

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

Source Distribution

high_level_markov_logic_network-1.0.0.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

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

high_level_markov_logic_network-1.0.0-py2-none-any.whl (13.3 kB view details)

Uploaded Python 2

File details

Details for the file high_level_markov_logic_network-1.0.0.tar.gz.

File metadata

  • Download URL: high_level_markov_logic_network-1.0.0.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.12

File hashes

Hashes for high_level_markov_logic_network-1.0.0.tar.gz
Algorithm Hash digest
SHA256 fb319dbc05d4fd30f4c7e303330b614480f8e4ea5abe7f1cdd5f185ccb6ee044
MD5 da7cf5c60382d88773f315ffa0fbfbb7
BLAKE2b-256 9aa37f268f0a1f297f496fc02d7d98d65a7064ade511f08036740624e69313d4

See more details on using hashes here.

File details

Details for the file high_level_markov_logic_network-1.0.0-py2-none-any.whl.

File metadata

  • Download URL: high_level_markov_logic_network-1.0.0-py2-none-any.whl
  • Upload date:
  • Size: 13.3 kB
  • Tags: Python 2
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/40.4.3 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/2.7.12

File hashes

Hashes for high_level_markov_logic_network-1.0.0-py2-none-any.whl
Algorithm Hash digest
SHA256 078ccf48d220081906989f54423c9f83ae50510f8f2d43fa7ca9c1a3e30eae07
MD5 480ab16c3e3d1626613c8ce5856bfa2a
BLAKE2b-256 2c02f40cab054508b4ba0a00a4ee15839382b988f2661b2b8e39d3b2c6c02f0a

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