Several related ferry routes log hourly ridership that shares weather and school-holiday patterns. Treating each hour as an independent tabular row ignores that related series. Which SageMaker algorithm fits?
Select an answer to reveal the explanation.
Short Explanation
Think of related ferry routes that share weather and school-holiday patterns. Treating each hour as an independent row ignores that. SageMaker DeepAR is the built-in for related scalar series.
Full Explanation
SageMaker DeepAR is the built-in forecaster for related scalar time series that share patterns. An independent linear fit on each hour ignores that structure. K-Means clusters unlabeled groups. Rekognition is not a forecast algorithm.