Using the SageMaker Python SDK — sagemaker 2.74.0 documentation
How to integrate Amazon SageMaker into your Kedro pipeline — Kedro 0.17.6 documentation
This parameter is required for unversioned models, and optional for versioned models.
To learn more, see our.
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We support up to 16 entries in the map.
Writing Custom TensorFlow Model Training and Inference Code To train a model on Amazon SageMaker using custom TensorFlow code and deploy it on Amazon SageMaker, you need to implement training and inference code interfaces in your code.
For information about choosing a hyperparameter scale, see.