Model Decay & Data Updates

From The Foundation for Best Practices in Machine Learning
Technical Best Practices > Monitoring & Maintenance > Model Decay & Data Updates

Model Decay & Data Updates


Operationalise procedures to mitigate Data Drift and/or Model decay (as described in Section 14.2 - Performance Robustness Exploration and Section 14.3. - Performance Robustness Development).


To (a) ensure timely implementation of any changes required in data and/or Modelling pipelines; and (b) highlight associated risks that might occur in the Product Lifecycle.

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