Built-in SageMaker Algorithms for Time-Series Data
SageMaker provides algorithms that are tailored to the analysis of time-series data for forecasting product demand, server loads, webpage requests, and more.
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Use the SageMaker DeepAR forecasting algorithm—a supervised learning algorithm for forecasting scalar (one-dimensional) time series using recurrent neural networks (RNN).
| Algorithm name | Channel name | Training input mode | File type | Instance class | Parallelizable |
|---|---|---|---|---|---|
| DeepAR Forecasting | train and (optionally) test | File | JSON Lines or Parquet | GPU or CPU | Yes |