CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework

Python Submitted 04 October 2021Published 18 December 2021
Review

Editor: @emdupre (all papers)
Reviewers: @robbisg (all reviews), @hugorichard (all reviews), @ejolly (all reviews)

Authors

James Chapman (0000-0002-9364-8118), Hao-Ting Wang (0000-0003-4078-2038)

Citation

Chapman et al., (2021). CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework. Journal of Open Source Software, 6(68), 3823, https://doi.org/10.21105/joss.03823

@article{Chapman2021, doi = {10.21105/joss.03823}, url = {https://doi.org/10.21105/joss.03823}, year = {2021}, publisher = {The Open Journal}, volume = {6}, number = {68}, pages = {3823}, author = {James Chapman and Hao-Ting Wang}, title = {CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Multiview Machine Learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066