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filtro: Feature Selection Using Supervised Filter-Based Methods
Tidy tools to apply filter-based supervised feature selection methods. These methods score and rank feature relevance using metrics such as p-values, correlation, and importance scores (Kuhn and Johnson (2019) <doi:10.1201/9781315108230>).
Getting started
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Package details |
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| Author | Frances Lin [aut, cre], Max Kuhn [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd] (ROR: <https://ror.org/03wc8by49>) |
| Maintainer | Frances Lin <franceslinyc@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://github.com/tidymodels/filtro |
| Package repository | View on CRAN |
| Installation |
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