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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.

Versions across snapshots

VersionRepositoryFileSize
0.8.2 rolling linux/jammy R-4.5 recorder_0.8.2.tar.gz 92.1 KiB
0.8.2 rolling linux/noble R-4.5 recorder_0.8.2.tar.gz 92.4 KiB
0.8.2 rolling source/ R- recorder_0.8.2.tar.gz 28.1 KiB
0.8.2 latest linux/jammy R-4.5 recorder_0.8.2.tar.gz 92.1 KiB
0.8.2 latest linux/noble R-4.5 recorder_0.8.2.tar.gz 92.4 KiB
0.8.2 latest source/ R- recorder_0.8.2.tar.gz 28.1 KiB
0.8.2 2026-04-26 source/ R- recorder_0.8.2.tar.gz 28.1 KiB
0.8.2 2026-04-23 source/ R- recorder_0.8.2.tar.gz 28.1 KiB
0.8.2 2026-04-09 windows/windows R-4.5 recorder_0.8.2.zip 98.6 KiB
0.8.2 2025-04-20 source/ R- recorder_0.8.2.tar.gz 28.1 KiB

Dependencies (latest)

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