Bayesian networks and other Probabilistic Graphical Models.

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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.

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2.3.2

2.3.1

2.3.0

2.2.1

2.2.0

2.1.1

2.1.0

2.0.1

2.0.0

1.99.9.91 yanked

Reason this release was yanked:

temporary version

1.17.2

1.17.1

1.17.0

1.16.0

1.15.1

1.15.0

1.14.1

1.14.0

1.13.2

1.13.1

1.13.0

1.12.1

1.12.0

1.11.0

This version

1.10.0

1.9.0

1.8.3

1.8.2

1.8.1

1.8.0

1.7.1

1.7.0

1.6.1

1.6.0

1.5.2

1.5.1

1.5.0

1.4.1

1.4.0

1.3.2

1.3.1

1.3.0

1.2.0

1.1.1

1.1.0

1.0.0

0.22.9

0.22.8

0.22.7

0.22.6

0.22.5

0.22.4

0.22.3

0.22.2

0.22.1

0.22.0

0.21.0

0.20.3

0.20.2

0.20.1

0.20.0

0.19.3

0.19.2

0.19.1

0.19.0

0.18.2

0.18.1

0.18.0

0.17.3

0.17.2

0.17.1

0.17.0

0.16.4

0.16.3

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.3

0.14.2

0.14.1

0.13.6

0.13.5

0.13.4.9

0.13.3

0.13.2.1

0.13.1.2

0.13.1.1

0.13.0.1

0.12.1.0

0.12.0.9.1

0.12.0.3

0.12.0.1

0.12.0

0.11.2

0.11.1.9

0.10.4.3

0.10.3.4

0.10.1.1

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0.9.3.7

0.9.3.6

0.9.3.5

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