Title :

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Author(s) :

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

Journal title :

Journal of Machine Learning Research

Pages :

1 - 5

Publisher :

Microtome Publishing

Publication date :

2018-06-18

ISSN :

1532-4435

English keyword(s) :

Python
Voronoi tesselation
ensemble methods
machine learning
open source software

HAL domain(s) :

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

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL