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Ensemble Modeling Example

This example notebook shows how to use mutiple models from SageMaker for prediction and combine then into an ensemble prediction.

It demonstrates the following:

  • Basic setup for using SageMaker.
  • converting datasets to protobuf format used by the Amazon SageMaker algorithms and uploading to user provided S3 bucket.
  • Training SageMaker's XGBoost algorithm on the data set.
  • Training SageMaker's Linear Learner on the data set.
  • Hosting the trained models.
  • Scoring using the trained models.
  • Combining predictions from the trained models in an ensemble.