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Efficiently train, tune, and deploy custom ensembles using Amazon SageMaker

AWS Machine Learning Blog

This final estimator’s training process often uses cross-validation. All these solutions include a meta-estimator (for example in an AWS Lambda function) that invokes each model and implements the blending or voting function. We also implement a k-fold cross validation function. References [1] Raj Kumar, P.

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