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src/sagemaker/amazon/amazon_estimator.py

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@@ -295,7 +295,7 @@ def record_set(self, train, labels=None, channel="train", encrypt=False, distrib
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encrypt (bool): Specifies whether the objects uploaded to S3 are
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encrypted on the server side using AES-256 (default: ``False``).
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distribution (str): The SageMaker TrainingJob channel s3 data
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distribution type (default: ``None``).
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distribution type (default: ``ShardedByS3Key``).
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Returns:
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RecordSet: A RecordSet referencing the encoded, uploading training
@@ -362,7 +362,7 @@ def __init__(
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single s3 manifest file, listing each s3 object to train on.
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channel (str or PipelineVariable): The SageMaker Training Job channel this RecordSet
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should be bound to
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distribution (str): S3 data distribution type.
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distribution (str): The SageMaker TrainingJob S3 data distribution type.
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Valid values: 'ShardedByS3Key', 'FullyReplicated'.
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"""
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self.s3_data = s3_data

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