vtreat: A Statistically Sound 'data.frame' Processor/Conditioner
Version 1.0.0

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). 'vtreat::prepare' should be used as you would use 'model.matrix'.

Package details

AuthorJohn Mount [aut, cre], Nina Zumel [aut], Win-Vector LLC [cph]
Date of publication2017-10-04 15:51:43 UTC
MaintainerJohn Mount <[email protected]>
URL https://github.com/WinVector/vtreat/ https://winvector.github.io/vtreat/
Package repositoryView on CRAN
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vtreat documentation built on Oct. 4, 2017, 5:07 p.m.