pyAgrum

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. 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.

Project details

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1.17.1

Nov 7, 2024

1.17.0

Oct 18, 2024

1.16.0

Oct 1, 2024

1.15.1

Aug 16, 2024

1.15.0

Jul 16, 2024

1.14.1

Jun 26, 2024

1.14.0

Jun 11, 2024

1.13.2

May 8, 2024

1.13.1

Apr 18, 2024

1.13.0

Mar 27, 2024

1.12.1

Feb 16, 2024

1.12.0

Feb 13, 2024

1.11.0

Jan 6, 2024

1.10.0

Oct 19, 2023

1.9.0

Jul 25, 2023

1.8.3

Jun 11, 2023

1.8.2

Jun 1, 2023

1.8.1

May 24, 2023

1.8.0

May 9, 2023

1.7.1

Mar 18, 2023

1.7.0

Mar 17, 2023

1.6.1

Feb 24, 2023

1.6.0

Feb 23, 2023

1.5.2

Jan 8, 2023

1.5.1

Dec 23, 2022

1.5.0

Dec 5, 2022

1.4.1

Nov 7, 2022

1.4.0

Nov 3, 2022

1.3.2

Oct 14, 2022

1.3.1

Aug 28, 2022

1.3.0

Aug 1, 2022

1.2.0

Jul 5, 2022

1.1.1

Jun 6, 2022

1.1.0

May 13, 2022

1.0.0

Apr 19, 2022

0.22.9

Mar 29, 2022

0.22.8

Feb 22, 2022

0.22.7

Feb 2, 2022

0.22.6

Jan 29, 2022

0.22.5

Dec 8, 2021

0.22.4

Nov 19, 2021

0.22.3

Nov 2, 2021

0.22.2

Sep 21, 2021

0.22.1

Sep 8, 2021

0.22.0

Aug 6, 2021

0.21.0

Jul 24, 2021

This version

0.20.3

Jun 7, 2021

0.20.2

May 2, 2021

0.20.1

Apr 15, 2021

0.20.0

Apr 8, 2021

0.19.3

Mar 3, 2021

0.19.2

Feb 21, 2021

0.19.1

Feb 13, 2021

0.19.0

Jan 5, 2021

0.18.2

Nov 1, 2020

0.18.1

Jul 20, 2020

0.18.0

Jun 11, 2020

0.17.3

Apr 27, 2020

0.17.2

Mar 23, 2020

0.17.1

Feb 11, 2020

0.17.0

Jan 22, 2020

0.16.4

Dec 15, 2019

0.16.3

Oct 18, 2019

0.16.2

Sep 21, 2019

0.16.1

Sep 20, 2019

0.16.0

Aug 27, 2019

0.15.2

Jul 13, 2019

0.15.1

Jun 16, 2019

0.15.0

May 9, 2019

0.14.3

Apr 3, 2019

0.14.2

Feb 28, 2019

0.14.1

Feb 8, 2019

0.13.6

Jan 8, 2019

0.13.5

Dec 21, 2018

0.13.4.9

Dec 19, 2018

0.13.3

Nov 1, 2018

0.13.2.1

Jun 11, 2018

0.13.1.2

Jun 7, 2018

0.13.1.1

Jun 7, 2018

0.13.0.1

May 29, 2018

0.12.1.0

Apr 9, 2018

0.12.0.9.1

May 25, 2018

0.12.0.3

Sep 29, 2017

0.12.0.1

Jun 27, 2017

0.12.0

Jun 27, 2017

0.11.2

May 10, 2017

0.11.1.9

Apr 3, 2017

0.10.4.3

Feb 7, 2017

0.10.3.4

Jan 5, 2017

0.10.1.1

Dec 13, 2016

0.10.0.1

Dec 3, 2016

0.9.3.7

Nov 4, 2016

0.9.3.6

Oct 31, 2016

0.9.3.5

Oct 31, 2016

0.9.3.4

Oct 28, 2016

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