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.
- Version0.8.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Last release06/13/2019
Documentation
Team
Lars Kjeldgaard
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- Imports2 packages
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