Pycobra: A Python Toolbox for Ensemble Learning and Visualisation Benjamin Guedj, Bhargav Srinivasa Desikan To cite this version: Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, Microtome Publishing, 2018, 18, pp.1 - 5. hal-01514059v3 HAL Id: hal-01514059 https://hal.inria.fr/hal-01514059v3 Submitted on 20 Jun 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - ShareAlike| 4.0 International License Journal of Machine Learning Research 18 (2018) 1-5 Submitted 4/17; Revised 3/18; Published 4/18 Pycobra: A Python Toolbox for Ensemble Learning and Visualisation Benjamin Guedj
[email protected] Modal project-team, Lille - Nord Europe research center Inria, France Bhargav Srinivasa Desikan
[email protected] Modal project-team, Lille - Nord Europe research center Inria, France Editor: Geoff Holmes Abstract We introduce pycobra, a Python library devoted to ensemble learning (regression and clas- sification) 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.