vtreat (1.5.2)

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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, .

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

License: GPL-2 | GPL-3

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

Released 17 days ago.

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