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Documentation: instance_type no longer hidden in instance_count documentation #2615

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Merged
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Sep 17, 2021
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Documentation: instance_type no longer hidden in instance_count documentation #2615

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documentation: AlgorithmEstimator instance_type parameter is no longe…
Sep 1, 2021
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documentation: AlgorithmEstimator instance_count parameter in one line
Sep 3, 2021
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Merge branch 'master' into feature/algorithmestimator-docs
ahsan-z-khan Sep 17, 2021
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5 changes: 2 additions & 3 deletions src/sagemaker/algorithm.py
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Expand Up @@ -71,9 +71,8 @@ def __init__(
access training data and model artifacts. After the endpoint
is created, the inference code might use the IAM role, if it
needs to access an AWS resource.
instance_count (int): Number of Amazon EC2 instances to
use for training. instance_type (str): Type of EC2
instance to use for training, for example, 'ml.c4.xlarge'.
instance_count (int): Number of Amazon EC2 instances to use for training.
instance_type (str): Type of EC2 instance to use for training, for example, 'ml.c4.xlarge'.
volume_size (int): Size in GB of the EBS volume to use for
storing input data during training (default: 30). Must be large enough to store
training data if File Mode is used (which is the default).
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