recorder: Toolkit to Validate New Data for a Predictive Model

A lightweight toolkit to validate new observations when computing their predictions with a predictive model. The validation process consists of two steps: (1) record relevant statistics and meta data of the variables in the original training data for the predictive model and (2) use these data to run a set of basic validation tests on the new set of observations.

Package details

AuthorLars Kjeldgaard [aut, cre]
MaintainerLars Kjeldgaard <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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recorder documentation built on June 13, 2019, 9:04 a.m.