proxy.golang.org: github.com/scikit-learn-contrib/category_encoders

• Homepage:
• Documentation: https://pkg.go.dev/github.com/scikit-learn-contrib/category_encoders#section-documentation
• Licenses: bsd-3-clause
• Latest release: v2.11.1+incompatible (published 17 days ago)
• Last Synced: 2026-09-27T18:34:04.157Z (1 day ago)
• Versions: 3
• Dependent Packages: 0
• Dependent Repositories: 0
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  • Average: 4.545%
  • Dependent repos count: 4.693%

conda-forge.org: category_encoders

A set of scikit-learn-style transformers for encoding categorical variables into numeric with different techniques. While ordinal, one-hot, and hashing encoders have similar equivalents in the existing scikit-learn version, the transformers in this library all share a few useful properties: - First-class support for pandas dataframes as an input (and optionally as output) - Can explicitly configure which columns in the data are encoded by name or index, or infer non-numeric columns regardless of input type - Can drop any columns with very low variance based on training set optionally - Portability: train a transformer on data, pickle it, reuse it later and get the same thing out. - Full compatibility with sklearn pipelines, input an array-like dataset like any other transformer

• Homepage: https://github.com/scikit-learn-contrib/category_encoders
• Licenses: BSD-3-Clause
• Latest release: 2.5.0 (published over 4 years ago)
• Last Synced: 2026-03-23T03:13:08.074Z (6 months ago)
• Versions: 16
• Dependent Packages: 7
• Dependent Repositories: 12
• Downloads: 444,805 Total
• Rankings:
  • Dependent packages count: 8.011%
  • Forks count: 8.505%
  • Stargazers count: 8.535%
  • Average: 8.798%
  • Dependent repos count: 10.142%

pypi.org: category-encoders-dev

A collection sklearn transformers to encode categorical variables as numeric

• Homepage: https://github.com/scikit-learn-contrib/category_encoders
• Documentation: https://category-encoders-dev.readthedocs.io/
• Licenses: BSD
• Latest release: 2.2.2.post2021 (published about 5 years ago)
• Last Synced: 2026-09-27T18:33:31.251Z (1 day ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 1
• Downloads: 9 Last month
• Rankings:
  • Stargazers count: 1.473%
  • Forks count: 2.661%
  • Dependent packages count: 7.306%
  • Average: 11.524%
  • Dependent repos count: 22.077%
  • Downloads: 24.101%
• Maintainers (1)
  • minrock

anaconda.org: category_encoders

A set of scikit-learn-style transformers for encoding categorical variables into numeric with different techniques. While ordinal, one-hot, and hashing encoders have similar equivalents in the existing scikit-learn version, the transformers in this library all share a few useful properties: - First-class support for pandas dataframes as an input (and optionally as output) - Can explicitly configure which columns in the data are encoded by name or index, or infer non-numeric columns regardless of input type - Can drop any columns with very low variance based on training set optionally - Portability: train a transformer on data, pickle it, reuse it later and get the same thing out. - Full compatibility with sklearn pipelines, input an array-like dataset like any other transformer

• Homepage: https://github.com/scikit-learn-contrib/category_encoders
• Licenses: BSD-3-Clause
• Latest release: 2.9.0 (published 4 months ago)
• Last Synced: 2026-05-19T20:03:25.080Z (4 months ago)
• Versions: 9
• Dependent Packages: 2
• Dependent Repositories: 12
• Downloads: 10,634 Total
• Rankings:
  • Stargazers count: 17.059%
  • Forks count: 17.059%
  • Dependent packages count: 20.447%
  • Average: 22.82%
  • Dependent repos count: 36.715%

nixpkgs-unstable: python313Packages.category-encoders

Library for sklearn compatible categorical variable encoders

• Homepage: https://github.com/scikit-learn-contrib/category_encoders
• Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/category-encoders/default.nix#L58
• Licenses: BSD-3-Clause
• Latest release: 2.9.0 (published 8 months ago)
• Last Synced: 2026-03-07T00:31:36.400Z (7 months ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
• Maintainers (1)
  • daspk04

nixpkgs-unstable: python314Packages.category-encoders

Library for sklearn compatible categorical variable encoders

• Homepage: https://github.com/scikit-learn-contrib/category_encoders
• Documentation: https://github.com/NixOS/nixpkgs/blob/nixos-unstable/pkgs/development/python-modules/category-encoders/default.nix#L58
• Licenses: BSD-3-Clause
• Latest release: 2.9.0 (published 8 months ago)
• Last Synced: 2026-04-10T19:01:52.489Z (6 months ago)
• Versions: 1
• Dependent Packages: 0
• Dependent Repositories: 0
• Rankings:
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  • Dependent packages count: 0.0%
  • Average: 100%
• Maintainers (1)
  • daspk04