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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 |
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Author | Lars Kjeldgaard [aut, cre] |
Maintainer | Lars Kjeldgaard <lars_kjeldgaard@hotmail.com> |
License | MIT + file LICENSE |
Version | 0.8.2 |
URL | https://github.com/smaakage85/recorder |
Package repository | View on CRAN |
Installation |
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