pylfit

Tony Ribeiro; Maxime Folschette; Morgan Magnin; Katsumi Inoue; Chiaki Sakama; Olivier Roux; Sophie Tourret; Madeleine Eyraud

Software Year : 2022

pylfit

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Tony Ribeiro

Function : Author
PersonId : 1136271
IdHAL : tony-ribeiro

Méthodes Formelles pour la Bioinformatique

National Institute of Informatics

Chercheur indépendant

Maxime Folschette

Function : Design
PersonId : 184129
IdHAL : maxime-folschette
ORCID : 0000-0002-3727-2320
IdRef : 253129966

BioComputing

Morgan Magnin

Function : Design
PersonId : 16779
IdHAL : morgan-magnin
ORCID : 0000-0001-5443-0506
IdRef : 136842836

Méthodes Formelles pour la Bioinformatique

National Institute of Informatics

Katsumi Inoue

Function : Design
PersonId : 925928
ORCID : 0000-0002-2717-9122

National Institute of Informatics

Chiaki Sakama

Function : Design

Wakayama University

Olivier Roux

Function : Design

Méthodes Formelles pour la Bioinformatique

Sophie Tourret

Function : Design
PersonId : 770524
ORCID : 0000-0002-6070-796X

Max-Planck-Institut für Informatik

Modeling and Verification of Distributed Algorithms and Systems

Madeleine Eyraud

Function : Debugging

BioComputing

Abstract

Python implementation of the main algorithms of the Learning From Interpretation Transitions (LFIT) framework. - GULA: General Usage LFIT Algorithm - PRIDE: Polynomial Relational Inference of Dynamic Environnement - Synchronizer

Implémentation Python des algorithmes principaux de l'approche Learning From Interpretation Transitions (LFIT).

Keywords

Learning From Interpretation Transitions Symbolic machine learning Explainable AI Biological regulation networks Inductive logic programming

Domains

Machine Learning [stat.ML] Artificial Intelligence [cs.AI] Logic [math.LO] Quantitative Methods [q-bio.QM]

Maxime Folschette : Connect in order to contact the contributor

https://hal.science/hal-04435180

Submitted on : Monday, February 5, 2024-2:15:33 PM

Last modification on : Monday, December 2, 2024-5:46:02 PM

Dates and versions

hal-04435180 , version 1 (05-02-2024)

Identifiers

HAL Id : hal-04435180 , version 1
SWHID : swh:1:dir:253fc595a7b0695e8b58396de8a0dbecfcc2d4f8;origin=https://hal.archives-ouvertes.fr/hal-04435180;visit=swh:1:snp:32e97fa297205b15881d7e629637ebaf1167a1f7;anchor=swh:1:rel:bd05bc079cbaec08139ca176051e66b656cd64ee;path=/

version : 0.3.0
Software License : GNU General Public License v3.0 only
Programming Language : Python 3 , Jupyter Notebook
Code Repository : https://github.com/Tony-sama/pylfit
Platform/OS : Linux , Windows , Mac OS

Cite

Tony Ribeiro, Maxime Folschette, Morgan Magnin, Katsumi Inoue, Chiaki Sakama, et al.. pylfit. 2022, ⟨swh:1:dir:253fc595a7b0695e8b58396de8a0dbecfcc2d4f8;origin=https://hal.archives-ouvertes.fr/hal-04435180;visit=swh:1:snp:32e97fa297205b15881d7e629637ebaf1167a1f7;anchor=swh:1:rel:bd05bc079cbaec08139ca176051e66b656cd64ee;path=/⟩. ⟨hal-04435180⟩

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pylfit

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