Scikit-SpLearn : a toolbox for the spectral learning of weighted automata compatible with scikit-learn

Denis Arrivault (1) , Dominique Benielli (2) , François Denis (1, 3) , Rémi Eyraud (1, 3)

1 LIS - Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon)
2 I2M - Institut de Mathématiques de Marseille
3 QARMA - éQuipe d'AppRentissage de MArseille

Scikit-SpLearn is a Python toolbox for the spectral learning of weighted automata from a set of strings, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox. This paper gives the main formal ideas behind the spectral learning algorithm and details the content of the toolbox. Use cases and an experimental section are also provided.

Mots clés: Toolbox; Spectral Learning; Weighted Automata

Domaines: Apprentissage [cs.LG]

Denis Arrivault, Dominique Benielli, François Denis, Rémi Eyraud. Scikit-SpLearn : a toolbox for the spectral learning of weighted automata compatible with scikit-learn. Conférence francophone sur l' Apprentissage Aurtomatique, Jun 2017, Grenoble, France. ⟨hal-01777169⟩