Class: Aws::SageMaker::Types::AutoMLJobChannel

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

A channel is a named input source that training algorithms can consume. This channel is used for AutoML jobs V2 (jobs created by calling [CreateAutoMLJobV2]).

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateAutoMLJobV2.html

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#channel_type ⇒ String

The type of channel. Defines whether the data are used for training or validation. The default value is training. Channels for training and validation must share the same ContentType

<note markdown=“1”> The type of channel defaults to training for the time-series forecasting problem type.

</note>

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 2532

class AutoMLJobChannel < Struct.new(
  :channel_type,
  :content_type,
  :compression_type,
  :data_source)
  SENSITIVE = []
  include Aws::Structure
end

#compression_type ⇒ String

The allowed compression types depend on the input format and problem type. We allow the compression type Gzip for S3Prefix inputs on tabular data only. For all other inputs, the compression type should be None. If no compression type is provided, we default to None.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 2532

class AutoMLJobChannel < Struct.new(
  :channel_type,
  :content_type,
  :compression_type,
  :data_source)
  SENSITIVE = []
  include Aws::Structure
end

#content_type ⇒ String

The content type of the data from the input source. The following are the allowed content types for different problems:

  • For tabular problem types: ‘text/csv;header=present` or `x-application/vnd.amazon+parquet`. The default value is `text/csv;header=present`.

  • For image classification: image/png, image/jpeg, or image/*. The default value is image/*.

  • For text classification: ‘text/csv;header=present` or `x-application/vnd.amazon+parquet`. The default value is `text/csv;header=present`.

  • For time-series forecasting: ‘text/csv;header=present` or `x-application/vnd.amazon+parquet`. The default value is `text/csv;header=present`.

  • For text generation (LLMs fine-tuning): ‘text/csv;header=present` or `x-application/vnd.amazon+parquet`. The default value is `text/csv;header=present`.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 2532

class AutoMLJobChannel < Struct.new(
  :channel_type,
  :content_type,
  :compression_type,
  :data_source)
  SENSITIVE = []
  include Aws::Structure
end

#data_source ⇒ Types::AutoMLDataSource

The data source for an AutoML channel (Required).

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 2532

class AutoMLJobChannel < Struct.new(
  :channel_type,
  :content_type,
  :compression_type,
  :data_source)
  SENSITIVE = []
  include Aws::Structure
end