Software repository
Paper review
Download paper
Software archive
Review
Editor: @arokem (all papers)
Reviewers: @mlgill (all reviews)
Authors
Sebastian Raschka (0000-0001-6989-4493)
Citation
Raschka, (2018). MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. Journal of Open Source Software, 3(24), 638, https://doi.org/10.21105/joss.00638
@article{Raschka2018,
doi = {10.21105/joss.00638},
url = {https://doi.org/10.21105/joss.00638},
year = {2018},
publisher = {The Open Journal},
volume = {3},
number = {24},
pages = {638},
author = {Sebastian Raschka},
title = {MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack},
journal = {Journal of Open Source Software}
}
Tags
machine learning data science association rule mining ensemble learning feature selection
Altmetrics
Markdown badge
License
Authors of JOSS papers retain copyright.
This work is licensed under a Creative Commons Attribution 4.0 International License.
