vtreat: A Statistically Sound 'data.frame' Processor/Conditioner
Version 0.5.32

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, Nina Zumel
Date of publication2017-06-14 01:37:36 UTC
MaintainerJohn Mount <jmount@win-vector.com>
URL https://github.com/WinVector/vtreat
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the vtreat package in your browser

Any scripts or data that you put into this service are public.

vtreat documentation built on June 20, 2017, 9:08 a.m.