Package: CatEncoders 0.1.1
CatEncoders: Encoders for Categorical Variables
Contains some commonly used categorical variable encoders, such as 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in Python 'sklearn.preprocessing' package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).
Authors:
CatEncoders_0.1.1.tar.gz
CatEncoders_0.1.1.zip(r-4.5)CatEncoders_0.1.1.zip(r-4.4)CatEncoders_0.1.1.zip(r-4.3)
CatEncoders_0.1.1.tgz(r-4.4-any)CatEncoders_0.1.1.tgz(r-4.3-any)
CatEncoders_0.1.1.tar.gz(r-4.5-noble)CatEncoders_0.1.1.tar.gz(r-4.4-noble)
CatEncoders_0.1.1.tgz(r-4.4-emscripten)CatEncoders_0.1.1.tgz(r-4.3-emscripten)
CatEncoders.pdf |CatEncoders.html✨
CatEncoders/json (API)
| # Install 'CatEncoders' in R: |
| install.packages('CatEncoders', repos = c('https://rnorm.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:5fbf50c6c0. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 09 2024 |
| R-4.5-win | NOTE | Nov 09 2024 |
| R-4.5-linux | NOTE | Nov 09 2024 |
| R-4.4-win | NOTE | Nov 09 2024 |
| R-4.4-mac | NOTE | Nov 09 2024 |
| R-4.3-win | NOTE | Nov 09 2024 |
| R-4.3-mac | NOTE | Nov 09 2024 |
Exports:inverse.transformLabelEncoder.fitOneHotEncoder.fittransform
Dependencies:data.tablelatticeMatrix
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| inverse.transform transforms an integer vector back to the original vector | inverse.transform inverse.transform,LabelEncoder,numeric-method |
| An S4 class to represent a LabelEncoder. | LabelEncoder-class |
| An S4 class to represent a LabelEncoder with character input. | LabelEncoder.Character-class |
| An S4 class to represent a LabelEncoder with factor input. | LabelEncoder.Factor-class |
| LabelEncoder.fit fits a LabelEncoder object | LabelEncoder.fit |
| An S4 class to represent a LabelEncoder with numeric input. | LabelEncoder.Numeric-class |
| An S4 class to represent a OneHotEncoder | OneHotEncoder-class |
| OneHotEncoder.fit fits an OneHotEncoder object | OneHotEncoder.fit |
| transform transforms a new data set using the fitted encoder | LabelEncoder.Character,character-method LabelEncoder.Numeric,numeric-method transform transform, transform,LabelEncoder.Character-method transform,LabelEncoder.Factor,factor-method transform,LabelEncoder.Factor-method transform,LabelEncoder.Numeric-method transform,OneHotEncoder,Any,logical-method transform,OneHotEncoder-method |
