A 'data.frame' processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. 'vtreat' prepares variables so that data has fewer exceptional cases, making it easier to safely use models in production. Common problems 'vtreat' defends against: 'Inf', 'NA', too many categorical levels, rare categorical levels, and new categorical levels (levels seen during application, but not during training). Reference: "'vtreat': a data.frame Processor for Predictive Modeling", 'Zumel', 'Mount', 2016, DOI:10.5281/zenodo.1173314.
| Version: | 1.2.3 |
| Depends: | R (≥ 3.2.1) |
| Imports: | stats, wrapr (≥ 1.5.0) |
| Suggests: | rquery (≥ 0.5.0), rqdatatable, testthat, knitr, parallel, rmarkdown, data.table, ggplot2, DBI, RSQLite, datasets |
| Published: | 2018-07-11 |
| Author: | John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph] |
| Maintainer: | John Mount <jmount at win-vector.com> |
| BugReports: | https://github.com/WinVector/vtreat/issues |
| License: | GPL-3 |
| URL: | https://github.com/WinVector/vtreat/, https://winvector.github.io/vtreat/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | vtreat results |
| Reference manual: | vtreat.pdf |
| Vignettes: |
Saving Treatment Plans vtreat package vtreat cross frames vtreat grouping example vtreat overfit vtreat Rare Levels vtreat scale mode vtreat significance vtreat data splitting Variable Types |
| Package source: | vtreat_1.2.3.tar.gz |
| Windows binaries: | r-devel: vtreat_1.2.3.zip, r-release: vtreat_1.2.3.zip, r-oldrel: vtreat_1.2.3.zip |
| OS X binaries: | r-release: vtreat_1.2.3.tgz, r-oldrel: vtreat_1.2.3.tgz |
| Old sources: | vtreat archive |
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