Class: Aws::CleanRoomsML::Types::IncrementalTrainingDataChannel

Inherits:
Struct
  • Object
show all
Defined in:
gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb

Overview

Defines an incremental training data channel that references a previously trained model. Incremental training allows you to update an existing trained model with new data, building upon the knowledge from a base model rather than training from scratch. This can significantly reduce training time and computational costs while improving model performance with additional data.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#channel_name ⇒ String

The name of the incremental training data channel. This name is used to identify the channel during the training process and must be unique within the training job.

Returns:

  • (String) 


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 3492

class IncrementalTrainingDataChannel < Struct.new(
  :trained_model_arn,
  :version_identifier,
  :channel_name)
  SENSITIVE = []
  include Aws::Structure
end

#trained_model_arn ⇒ String

The Amazon Resource Name (ARN) of the base trained model to use for incremental training. This model serves as the starting point for the incremental training process.

Returns:

  • (String) 


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 3492

class IncrementalTrainingDataChannel < Struct.new(
  :trained_model_arn,
  :version_identifier,
  :channel_name)
  SENSITIVE = []
  include Aws::Structure
end

#version_identifier ⇒ String

The version identifier of the base trained model to use for incremental training. If not specified, the latest version of the trained model is used.

Returns:

  • (String) 


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 3492

class IncrementalTrainingDataChannel < Struct.new(
  :trained_model_arn,
  :version_identifier,
  :channel_name)
  SENSITIVE = []
  include Aws::Structure
end