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Journal Articles Journal of Machine Learning Research Year : 2018

Pycobra: A Python Toolbox for Ensemble Learning and Visualisation

Benjamin Guedj

Abstract

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.
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Dates and versions

hal-01514059 , version 1 (25-04-2017)
hal-01514059 , version 2 (27-07-2017)
hal-01514059 , version 3 (20-06-2018)

Licence

Attribution - NonCommercial - ShareAlike

Identifiers

  • HAL Id : hal-01514059 , version 3

Cite

Benjamin Guedj, Bhargav Srinivasa Desikan. Pycobra: A Python Toolbox for Ensemble Learning and Visualisation. Journal of Machine Learning Research, 2018, 18, pp.1 - 5. ⟨hal-01514059v3⟩
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