DatasetDefinition | R Documentation |
DatasetDefinition input.
DatasetDefinition input.
sagemaker.core::ApiObject
-> DatasetDefinition
new()
Initialize DatasetDefinition.
DatasetDefinition$new( data_distribution_type = "ShardedByS3Key", input_mode = "File", local_path = NULL, redshift_dataset_definition = NULL, athena_dataset_definition = NULL )
data_distribution_type
(str, default="ShardedByS3Key"): Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).
input_mode
(str, default="File"): Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.
local_path
(str, default=None): The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when 'AppManaged' is False (default).
redshift_dataset_definition
(:class:sagemaker.common::RedshiftDatasetDefinition
,
default=None):
Configuration for Redshift Dataset Definition input.
athena_dataset_definition
(:class:sagemaker.common::AthenaDatasetDefinition
,
default=None):
Configuration for Athena Dataset Definition input.
clone()
The objects of this class are cloneable with this method.
DatasetDefinition$clone(deep = FALSE)
deep
Whether to make a deep clone.
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