You are creating a retraining policy for a customer churn prediction model deployed in Vertex AI. New training data is added weekly. You want to implement a model retraining process that minimizes cost and effort. What should you do?
A.
Retrain the model when a significant shift in the distribution of customer attributes is detected in the production data compared to the training data.
B.
Retrain the model when the model's latency increases by 10% due to increased traffic.
C.
Retrain the model when the model accuracy drops by 10% on the new training dataset.
D.
Retrain the model every week when new training data is available.
A - retrains model only when needed
B - latency is not the parameter for retraining
C - could be, but I choose A over C
D - weekly retraining might be to frequent. If we want to minimize cost, it is better to retrain when there is a visible need for it
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qaz09
1 month agoDuke_CT
1 month, 3 weeks ago