Titre :

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Auteur(s) :

Guedj, Benjamin [Auteur]
MOdel for Data Analysis and Learning [MODAL]
Srinivasa Desikan, Bhargav [Auteur]
MOdel for Data Analysis and Learning [MODAL]

Titre de la revue :

Journal of Machine Learning Research

Pagination :

1 - 5

Éditeur :

Microtome Publishing

Date de publication :

2018-06-18

ISSN :

1532-4435

Mot(s)-clé(s) en anglais :

Python
Voronoi tesselation
ensemble methods
machine learning
open source software

Discipline(s) HAL :

Statistiques [stat]/Machine Learning [stat.ML]
Statistiques [stat]/Calcul [stat.CO]
Statistiques [stat]/Méthodologie [stat.ME]

Résumé en anglais : [en]

We introduce pycobra, a Python library devoted to ensemble learning (regression and classification) and visualisation. Its main assets are the implementation of several ensemble learning algorithms, a flexible and generic ...
Lire la suite >We introduce pycobra, a Python library devoted to ensemble learning (regression and classification) and visualisation. Its main assets are the implementation of several ensemble learning algorithms, a flexible and generic interface to compare and blend any existing machine learning algorithm available in Python libraries (as long as a predict method is given), and visualisation tools such as Voronoi tessellations. pycobra is fully scikit-learn compatible and is released under the MIT open-source license. pycobra can be down-loaded from the Python Package Index (PyPi) and Machine Learning Open Source Software (MLOSS). The current version (along with Jupyter notebooks, extensive documentation, and continuous integration tests) is available at https://github.com/bhargavvader/pycobra.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL