https://github.com/bfgray3/cattonum

Encode Categorical Features (unmaintained)
https://github.com/bfgray3/cattonum

categorical-features cran data-science dummies encoding machine-learning r r-package rstats supervised-learning

Last synced: 3 months ago
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Encode Categorical Features (unmaintained)

• Host: GitHub
• URL: https://github.com/bfgray3/cattonum
• Owner: bfgray3
• License: other
• Created: 2017-12-04T01:31:46.000Z (almost 7 years ago)
• Default Branch: develop
• Last Pushed: 2022-11-05T01:21:52.000Z (about 2 years ago)
• Last Synced: 2024-06-04T23:57:02.281Z (5 months ago)
• Topics: categorical-features, cran, data-science, dummies, encoding, machine-learning, r, r-package, rstats, supervised-learning
• Language: R
• Homepage: https://CRAN.R-project.org/package=cattonum
• Size: 212 KB
• Stars: 32
• Watchers: 8
• Forks: 5
• Open Issues: 19
• Metadata Files:
  • Readme: README.Rmd
  • Contributing: .github/CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

Awesome Lists containing this project

• jimsghstars - bfgray3/cattonum - Encode Categorical Features (unmaintained) (R)

README

        
---

output: github_document

---

```{r, echo = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-"

)

```

# cattonum

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/cattonum)](https://cran.r-project.org/package=cattonum)

[![R build status](https://github.com/bfgray3/cattonum/workflows/R-CMD-check/badge.svg)](https://github.com/bfgray3/cattonum)

[![Codecov test coverage](https://codecov.io/gh/bfgray3/cattonum/branch/develop/graph/badge.svg)](https://codecov.io/gh/bfgray3/cattonum?branch=develop)

[![Total Downloads](http://cranlogs.r-pkg.org/badges/grand-total/cattonum)](https://cran.r-project.org/package=cattonum)

[![lifecycle](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)

[![Licence](https://img.shields.io/github/license/mashape/apistatus.svg)](http://choosealicense.com/licenses/mit/)

## Special note

I am currently looking for someone who would be interested in becoming the official maintainer of the package. Advanced skill in R or previous package development experience is not necessary. I will be able to help out with code review, etc.  Please comment on [this issue](https://github.com/bfgray3/cattonum/issues/40) if you are interested.

## Summary

cattonum ("cat to num") provides different ways to encode categorical features as numerics.  Its goal is to be a one-stop shop for all categorical encoding needs.  It includes the following:

* aggregate function encoding: `catto_aggregate()`

* dummy encoding: `catto_dummy()`

* frequency encoding: `catto_freq()`

* label encoding: `catto_label()`

* leave-one-out encoding: `catto_loo()`

* mean encoding: `catto_mean()`

* median encoding: `catto_median()`

* one-hot encoding: `catto_onehot()`

There are many existing packages with which to encode categorical features, including (among others):

* [CatEncoders](https://cran.r-project.org/package=CatEncoders)

* [dummies](https://cran.r-project.org/package=dummies)

* [embed](https://github.com/tidymodels/embed)

* [fastDummies](https://cran.r-project.org/package=fastDummies)

* [FeatureHashing](https://cran.r-project.org/package=FeatureHashing)

* [h2o](https://cran.r-project.org/package=h2o)

* [makedummies](https://cran.r-project.org/package=makedummies)

* [recipes](https://cran.r-project.org/package=recipes)

* [vtreat](https://cran.r-project.org/package=vtreat)

## Installation

The development version can be installed from the `develop` branch on GitHub, which is the default branch.

```{r, eval = FALSE}

remotes::install_github("bfgray3/cattonum", ref = "develop")

```

The latest official release can be installed from [CRAN](https://CRAN.R-project.org/package=cattonum).

```{r, eval = FALSE}

install.packages("cattonum")

```

## Usage

```{r}

library(cattonum)

data(iris)

head(catto_loo(iris, response = Sepal.Length))

```

## Code of Conduct

Please note that this project is released with a

[Contributor Code of Conduct](https://github.com/bfgray3/cattonum/blob/develop/.github/CODE_OF_CONDUCT.md).

By contributing, you agree to abide by its terms.