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Amazon SageMaker Python SDK — sagemaker 2.219.0 documentation
Amazon SageMaker Python SDK¶ Amazon SageMaker Python SDK is an open source library for training and deploying machine-learned models on Amazon SageMaker. With the SDK, you can train and deploy models ...
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Using the SageMaker Python SDK — sagemaker 2.219.0 documentation
predictor instance to query your endpoint. For catboost-classification-model, for example, the predictor accepts a csv. For more information about how to use the predictor, see the Appendix. predicto...
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Using the SageMaker Python SDK — sagemaker 2.23.1 documentation
FileSystemInput or FileSystemRecordSet class, which encapsulates all of the necessary arguments required by the service to use EFS or Lustre. Here are examples of how to use Amazon EFS as input for t...
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Amazon SageMaker Processing — sagemaker 2.219.0 documentation
sagemaker.spark.processing.PySparkProcessor class to run PySpark scripts as processing jobs. This example shows how you can take an existing PySpark script and run a processing job with the sagemaker...
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Predictors — sagemaker 2.219.0 documentation
invoke_endpoint_with_response_stream call. Default is None (no default arguments). (Default: None) target_variant ( str) – Optional. The name of the production variant to run an inference request on (...
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Built-in Algorithms — sagemaker 2.219.0 documentation
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