Model Re-training

From The Foundation for Best Practices in Machine Learning

Model Re-training


Operationalise procedures on how Model re-training ought to be conducted as well as approached, inclusive of, amongst other things, - (1) when will (i) a new Model be deployed, and/or (ii) a Model with the same hyperparameters but trained on new data; and/or (2) when operationalizing re-trained Models ought they be run in parallel with older Models and/or do to gracefully decommission older Models.


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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