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Authors
William D. McGinnis (0000-0002-3009-9465), Chapman Siu (0000-0002-2089-3796), Andre S (0000-0001-5104-0465), Hanyu Huang (0000-0001-8503-1014)
Citation
McGinnis et al., (2018). Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data. Journal of Open Source Software, 3(21), 501, https://doi.org/10.21105/joss.00501
@article{McGinnis2018,
doi = {10.21105/joss.00501},
url = {https://doi.org/10.21105/joss.00501},
year = {2018},
publisher = {The Open Journal},
volume = {3},
number = {21},
pages = {501},
author = {William D. McGinnis and Chapman Siu and Andre S and Hanyu Huang},
title = {Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data},
journal = {Journal of Open Source Software}
}
Tags
machine learning python sckit-learn
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