vtreat (1.2.3)

A Statistically Sound 'data.frame' Processor/Conditioner.

https://github.com/WinVector/vtreat/
https://winvector.github.io/vtreat/
http://cran.r-project.org/web/packages/vtreat

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.

Maintainer: John Mount
Author(s): John Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]

License: GPL-3

Uses: wrapr, DBI, RSQLite, ggplot2, data.table, testthat, knitr, rmarkdown, rquery, rqdatatable

Released 3 months ago.