Class: Aws::SageMaker::Types::AutoMLChannel
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::AutoMLChannel
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Note:
When making an API call, you may pass AutoMLChannel data as a hash:
{
data_source: { # required
s3_data_source: { # required
s3_data_type: "ManifestFile", # required, accepts ManifestFile, S3Prefix
s3_uri: "S3Uri", # required
},
},
compression_type: "None", # accepts None, Gzip
target_attribute_name: "TargetAttributeName", # required
}
Similar to Channel. A channel is a named input source that training algorithms can consume. Refer to Channel for detailed descriptions.
Instance Attribute Summary collapse
-
#compression_type ⇒ String
You can use Gzip or None.
-
#data_source ⇒ Types::AutoMLDataSource
The data source.
-
#target_attribute_name ⇒ String
The name of the target variable in supervised learning, a.k.a.
Instance Attribute Details
#compression_type ⇒ String
You can use Gzip or None. The default value is None.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 973 class AutoMLChannel < Struct.new( :data_source, :compression_type, :target_attribute_name) include Aws::Structure end |
#data_source ⇒ Types::AutoMLDataSource
The data source.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 973 class AutoMLChannel < Struct.new( :data_source, :compression_type, :target_attribute_name) include Aws::Structure end |
#target_attribute_name ⇒ String
The name of the target variable in supervised learning, a.k.a. ‘y’.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 973 class AutoMLChannel < Struct.new( :data_source, :compression_type, :target_attribute_name) include Aws::Structure end |