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pyAgrum is a scientific C++ and Python library dedicated to Bayesian Networks and other Probabilistic Graphical Models.

copied from cf-staging / pyagrum

Installers

Info: This package contains files in non-standard labels.
  • linux-64 v2.0.1
  • win-64 v2.0.1
  • linux-aarch64 v2.0.1
  • osx-arm64 v2.0.1
  • osx-64 v2.0.1
  • win-32 v0.13.2

conda install

To install this package run one of the following:
conda install conda-forge::pyagrum
conda install conda-forge/label/cf201901::pyagrum
conda install conda-forge/label/cf202003::pyagrum
conda install conda-forge/label/gcc7::pyagrum

Description

aGrUM is a C++ library for graphical models. It is designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes. pyAgrum provides a high-level interface to the part of aGrUM 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.

Since pyAgrum 2.0.0, the package name follows PEP8 rules and is now pyagrum (lowercase).

Please use:

import pyagrum

Instead of:

import pyAgrum

See the CHANGELOG (https://gitlab.com/agrumery/aGrUM/-/blob/master/CHANGELOG.md?ref_type=heads#changelog-for-200) for more details.


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