vtreat (1.4.7)

0 users

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, .

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

License: GPL-2 | GPL-3

Uses: wrapr, DBI, R.rsp, RSQLite, RUnit, lme4, data.table, isotone, knitr, rmarkdown, rquery, rqdatatable

Released 2 months ago.


39 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

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.