A pier-meter table has a couple of hundred sparse columns and only a few hundred rows. The trainer memorizes rare meter IDs. This is a refine-the-model choice, not a Domain 1 encoding recipe. What should they do?
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Short Explanation
A couple hundred sparse columns and a few hundred rows will memorize rare meter IDs. Feature selection during refinement trims that wide, short table. More epochs keep the memorization going, Translate is not a selector, and a Domain 1 re-encode is the wrong stop.
Full Explanation
Feature selection during model refinement reduces overfitting on a wide, short table that memorizes rare IDs. More epochs deepen the memorization. Translate is not feature selection, and a Domain 1 re-encode is the wrong domain for this refine step.