filtro

Overview

The goal of filtro is to apply filter-based supervised feature selection methods. These methods score feature relevance using metrics such as p-values, correlation, and importance scores.

The package offers tools to score, rank, and select top features using built-in functions and the desirability2 package, and supports streamlined preprocessing on its own or within tidymodels workflows like the recipes package.

Installation

You can install the released version of filtro from CRAN with:

# FILL THIS IN! 

You can install the development version from Github with:

# FILL THIS IN! 

A scoring example

A filtering exmple using a single score

A filtering example using multiple 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.