ADaPT-ML: A Data Programming Template for Machine Learning

Python Submitted 02 December 2021Published 05 April 2022
Review

Editor: @jmschrei (all papers)
Reviewers: @aaronpeikert (all reviews), @wincowgerDEV (all reviews)

Authors

Andrea M. Whittaker (0000-0001-8512-1810)

Citation

Whittaker, A. M., (2022). ADaPT-ML: A Data Programming Template for Machine Learning. Journal of Open Source Software, 7(72), 4038, https://doi.org/10.21105/joss.04038

@article{Whittaker2022, doi = {10.21105/joss.04038}, url = {https://doi.org/10.21105/joss.04038}, year = {2022}, publisher = {The Open Journal}, volume = {7}, number = {72}, pages = {4038}, author = {Andrea M. Whittaker}, title = {ADaPT-ML: A Data Programming Template for Machine Learning}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Docker MLOps data programming machine learning model lifecycle

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