A library-board work session must walk through a late-fee model with a signed weight on each factor. Which SageMaker built-in fits that interpretability constraint?
Select an answer to reveal the explanation.
Short Explanation
Think of a library board that needs a signed weight on each late-fee factor. Linear Learner. A deep script-mode network hides those weights from the trustees.
Full Explanation
Linear Learner (or another linear built-in) is the selection when interpretability is the constraint and trustees need a signed weight on each factor. A deep network hides those weights. Random Cut Forest is unlabeled anomaly detection. Polly is not a coefficient model.