category_encoders/CITATION.cff at master · scikit-learn-contrib/category_encoders · GitHub

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cff-version: 1.2.0
message: "If you use this software, please cite it using these metadata."
title: "category_encoders: a scikit-learn-contrib package of transformers for encoding categorical data"
abstract: "A set of scikit-learn-style transformers for encoding categorical variables into numeric with different techniques."
type: software
authors:
  - family-names: McGinnis
    given-names: "William D"
    orcid: "https://orcid.org/0000-0002-3009-9465"
    affiliation: "Scale Venture Partners"
  - family-names: Siu
    given-names: Chapman
    orcid: "https://orcid.org/0000-0002-2089-3796"
    affiliation: "Suncorp Group Ltd."
  - family-names: Silva
    given-names: Andre
    orcid: "https://orcid.org/0000-0001-5104-0465"
    affiliation: "Jungle AI"
  - family-names: Huang
    given-names: Hanyu
    orcid: "https://orcid.org/0000-0001-8503-1014"
    affiliation: "Tencent, Inc."
  - family-names: Motl
    given-names: Jan
    orcid: "https://orcid.org/0000-0002-0388-3190"
    affiliation: "Czech Technical University in Prague"
  - family-names: Westenthanner
    given-names: "Kaspar Paul"
    orcid: "https://orcid.org/0009-0007-4284-3953"
    affiliation: "Atruvia"
  - family-names: Castaldo
    given-names: Jonathan
    orcid: "https://orcid.org/0009-0001-2553-5920"
    affiliation: "Meta, Inc."
version: 2.11.2
doi: 10.5281/zenodo.1157109
date-released: 2026-10-24
license: BSD-3-Clause
repository-code: "https://github.com/scikit-learn-contrib/category_encoders"
url: "http://contrib.scikit-learn.org/category_encoders/"
keywords:
  - machine learning
  - python
  - scikit-learn
  - categorical encoding
  - feature engineering