Class: Aws::SageMaker::Types::DatasetDefinition
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::DatasetDefinition
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Configuration for Dataset Definition inputs. The Dataset Definition
input must specify exactly one of either AthenaDatasetDefinition
or
RedshiftDatasetDefinition
types.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#athena_dataset_definition ⇒ Types::AthenaDatasetDefinition
Configuration for Athena Dataset Definition input.
-
#data_distribution_type ⇒ String
Whether the generated dataset is
FullyReplicated
orShardedByS3Key
(default). -
#input_mode ⇒ String
Whether to use
File
orPipe
input mode. -
#local_path ⇒ String
The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job.
-
#redshift_dataset_definition ⇒ Types::RedshiftDatasetDefinition
Configuration for Redshift Dataset Definition input.
Instance Attribute Details
#athena_dataset_definition ⇒ Types::AthenaDatasetDefinition
Configuration for Athena Dataset Definition input.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 11464 class DatasetDefinition < Struct.new( :athena_dataset_definition, :redshift_dataset_definition, :local_path, :data_distribution_type, :input_mode) SENSITIVE = [] include Aws::Structure end |
#data_distribution_type ⇒ String
Whether the generated dataset is FullyReplicated
or
ShardedByS3Key
(default).
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 11464 class DatasetDefinition < Struct.new( :athena_dataset_definition, :redshift_dataset_definition, :local_path, :data_distribution_type, :input_mode) SENSITIVE = [] include Aws::Structure end |
#input_mode ⇒ String
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 11464 class DatasetDefinition < Struct.new( :athena_dataset_definition, :redshift_dataset_definition, :local_path, :data_distribution_type, :input_mode) SENSITIVE = [] include Aws::Structure end |
#local_path ⇒ String
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).
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 11464 class DatasetDefinition < Struct.new( :athena_dataset_definition, :redshift_dataset_definition, :local_path, :data_distribution_type, :input_mode) SENSITIVE = [] include Aws::Structure end |
#redshift_dataset_definition ⇒ Types::RedshiftDatasetDefinition
Configuration for Redshift Dataset Definition input.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 11464 class DatasetDefinition < Struct.new( :athena_dataset_definition, :redshift_dataset_definition, :local_path, :data_distribution_type, :input_mode) SENSITIVE = [] include Aws::Structure end |