Amazon SageMaker Canvas announces new capabilities for time series forecasting models

The article introduces new capabilities in Amazon SageMaker Canvas for building, evaluating, and deploying time series forecasting models with greater flexibility and ease of use.

Specifically, the article covers:

• SageMaker Canvas now provides visibility into the built-in algorithms used for creating time series forecasting models and allows users to choose any combination of these algorithms.
• A model leaderboard is introduced, displaying a ranked list of model candidates along with performance metrics, and providing a recommended best model based on the dataset.
• Users can select and deploy their chosen model directly to an Amazon SageMaker real-time inference endpoint for use in applications outside SageMaker Canvas.
• These new capabilities are now available in all AWS regions where SageMaker Canvas is supported.