vtreat: 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). 'vtreat::prepare' should be used as you would use 'model.matrix'.

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Identity

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PID https://www.doi.org/10.5281/zenodo.1196652
PID https://www.doi.org/10.5281/zenodo.1196479
PID https://www.doi.org/10.5281/zenodo.1173318
PID https://www.doi.org/10.5281/zenodo.1173317
URL https://figshare.com/articles/vtreat_A_Statistically_Sound_data_frame_Processor_Conditioner/11432733
URL https://zenodo.org/record/1196652
URL http://dx.doi.org/10.5281/zenodo.1196652
URL https://zenodo.org/record/1196479
URL http://dx.doi.org/10.5281/zenodo.1196479
URL https://zenodo.org/record/1173318
URL http://dx.doi.org/10.5281/zenodo.1173317
URL http://dx.doi.org/10.5281/zenodo.1173318
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Access Right Open Source
Attribution

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Author Mount, John, 0000-0002-3696-2012
Author Zumel, Nina, 0000-0001-8831-0190
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Collected From Zenodo; figshare; Datacite
Hosted By Zenodo; figshare
Publication Date 2015-09-06
Publisher Figshare
Additional Info
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Language UNKNOWN
Resource Type Software
system:type software
Management Info
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Source https://science-innovation-policy.openaire.eu/search/software?softwareId=dedup_wf_001::1e8e34d51814657ee4050023ee266ff8
Author jsonws_user
Last Updated 17 December 2020, 23:05 (CET)
Created 17 December 2020, 23:05 (CET)