filtro

⚠️ filtro is under active development; breaking changes may occur.

Overview

filtro is tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, importance scores, and more.

filtro provides functions to rank and select a top number or proportion of features using built-in methods and the desirability2 package, and supports streamlined preprocessing, either standalone or within tidymodels workflows such as the recipes package.

Installation

Install the released version of filtro from CRAN with:

install.packages("filtro")

Install the development version from GitHub with:

# install.packages("pak")
pak::pak("tidymodels/filtro")

Feature selection methods

A scoring example

A filtering exmple for singular score

A filtering example for plural scores

Contributing

Please note that the filtro project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

• For questions and discussions about tidymodels packages, modeling, and machine learning, please post on Posit Community.

• If you think you have encountered a bug, please submit an issue.

• Either way, learn how to create and share a reprex (a minimal, reproducible example), to clearly communicate about your code.

• Check out further details on contributing guidelines for tidymodels packages and how to get help.