You are building a model to make clothing recommendations. You know a user’s fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?
A . Continuously retrain the model on just the new data.
B . Continuously retrain the model on a combination of existing data and the new data.
C . Train on the existing data while using the new data as your test set.
D . Train on the new data while using the existing data as your test set.
Answer: C
Explanation:
https://cloud.google.com/automl-tables/docs/prepare
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