vtreat-package: vtreat: A Statistically Sound 'data.frame'...

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

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

Description

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'.

Details

For more information:

• vignette('vtreat', package='vtreat')

• vignette(package='vtreat')

• Website: https://github.com/WinVector/vtreat

Author(s)

Maintainer: John Mount [e-mail]

Authors:

• Nina Zumel [e-mail]

Other contributors:

• Win-Vector LLC [copyright holder]

See Also

Useful links:

• https://github.com/WinVector/vtreat/

• https://winvector.github.io/vtreat/

• Report bugs at https://github.com/WinVector/vtreat/issues

vtreat documentation built on Aug. 20, 2023, 1:08 a.m.