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Merge branch 'master' into fix-local-mode-root-files
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src/sagemaker/algorithm.py

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@@ -71,9 +71,8 @@ def __init__(
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access training data and model artifacts. After the endpoint
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is created, the inference code might use the IAM role, if it
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needs to access an AWS resource.
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instance_count (int): Number of Amazon EC2 instances to
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use for training. instance_type (str): Type of EC2
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instance to use for training, for example, 'ml.c4.xlarge'.
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instance_count (int): Number of Amazon EC2 instances to use for training.
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instance_type (str): Type of EC2 instance to use for training, for example, 'ml.c4.xlarge'.
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volume_size (int): Size in GB of the EBS volume to use for
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storing input data during training (default: 30). Must be large enough to store
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training data if File Mode is used (which is the default).

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