vtreat (1.3.2)

0 users

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


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, R.rsp, RSQLite, ggplot2, data.table, testthat, knitr, rmarkdown, rquery, rqdatatable

Released 10 days ago.

26 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of vtreat yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for vtreat on google, google scholar, r-help, r-devel.

Visit vtreat on R Graphical Manual.