Pycobra: A Python Toolbox for Ensemble ...
Type de document :
Article dans une revue scientifique
URL permanente :
Titre :
Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Auteur(s) :
Guedj, Benjamin [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Srinivasa Desikan, Bhargav [Auteur]
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Srinivasa Desikan, Bhargav [Auteur]
Titre de la revue :
Journal of Machine Learning Research
Nom court de la revue :
JMLR
Numéro :
18
Pagination :
1-5
Éditeur :
Microtome Publishing
Date de publication :
2018-06-18
ISSN :
1532-4435
Mot(s)-clé(s) :
Open source software
Machine learning
Python
Voronoi tesselation
Ensemble methods
Machine learning
Python
Voronoi tesselation
Ensemble methods
Discipline(s) HAL :
Statistiques [stat]/Machine Learning [stat.ML]
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 >
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
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Date de dépôt :
2020-06-08T14:10:41Z