Installation
About
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.
| github.com/smaakage85/recorder |
Key Metrics
Downloads
| Yesterday | 3 0% |
| Last 7 days | 30 -47% |
| Last 30 days | 188 +1% |
| Last 90 days | 575 -7% |
| Last 365 days | 2.602 +2% |
Maintainer
| Maintainer | Lars Kjeldgaard |