Data Dependencies and Upstream Changes

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Monitoring & Maintenance > Data Dependencies and Upstream Changes

Data Dependencies and Upstream Changes

Control

Derive and implement change assessments for changes in data due to - (i) one or multiple internal or external sources (partial) updates, (ii) substantial source change, and/or (iii) changes in data production and/or delivery.


Aim

To (a) reduce nonsensical predictions of the Model due to (i) missing data, (ii) lack of data incorporated, or (iii) data measurement scaling, encoding and/or meaning; (b) to reduce the discrepancy between training and production data; and (c) highlight associated risks that might occur in the Product Lifecycle.


Additional Information