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

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-sagemaker/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).

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

The type of channel defaults to training for the time-series forecasting problem type.

Returns:

  • (String) 


2174
2175
2176
2177
2178
2179
2180
2181
 
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2174

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) 


2174
2175
2176
2177
2178
2179
2180
2181
 
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2174

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) 


2174
2175
2176
2177
2178
2179
2180
2181
 
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2174

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:



2174
2175
2176
2177
2178
2179
2180
2181
 
# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 2174

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