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.


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install.packages("recorder")

0.8.2 by Lars Kjeldgaard, a year ago


https://github.com/smaakage85/recorder


Browse source code at https://github.com/cran/recorder


Authors: Lars Kjeldgaard [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports data.table, crayon

Suggests testthat, knitr, rmarkdown


See at CRAN