Pycobra: A Python Toolbox for Ensemble Learning and Visualisation
Not on the map. Why?
Abstract (arXiv)
We introduce textttpycobra, 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 textttpredict method is given), and visualisation tools such as Voronoi tessellations. textttpycobra is fully textttscikit-learn compatible and is released under the MIT open-source license. textttpycobra can be downloaded 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 hrefhttps://github.com/bhargavvader/pycobrahttps://github.com/bhargavvader/pycobra and official documentation website is hrefhttps://modal.lille.inria.fr/pycobrahttps://modal.lille.inria.fr/pycobra.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 25 Apr 2017.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2022: 2.
2 papers.