Class: Aws::CleanRoomsML::Types::ModelTrainingDataChannel

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

Overview

Information about the model training data channel. A training data channel is a named data source that the training algorithms can consume.

Constant Summary collapse

SENSITIVE =
[]

Instance Attribute Summary collapse

Instance Attribute Details

#channel_nameString

The name of the training data channel.

Returns:

  • (String)


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 4588

class ModelTrainingDataChannel < Struct.new(
  :ml_input_channel_arn,
  :channel_name,
  :s3_data_distribution_type)
  SENSITIVE = []
  include Aws::Structure
end

#ml_input_channel_arnString

The Amazon Resource Name (ARN) of the ML input channel for this model training data channel.

Returns:

  • (String)


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 4588

class ModelTrainingDataChannel < Struct.new(
  :ml_input_channel_arn,
  :channel_name,
  :s3_data_distribution_type)
  SENSITIVE = []
  include Aws::Structure
end

#s3_data_distribution_typeString

Specifies how the training data stored in Amazon S3 should be distributed to training instances. This parameter controls the data distribution strategy for the training job:

  • FullyReplicated - The entire dataset is replicated on each training instance. This is suitable for smaller datasets and algorithms that require access to the complete dataset.

  • ShardedByS3Key - The dataset is distributed across training instances based on Amazon S3 key names. This is suitable for larger datasets and distributed training scenarios where each instance processes a subset of the data.

Returns:

  • (String)


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# File 'gems/aws-sdk-cleanroomsml/lib/aws-sdk-cleanroomsml/types.rb', line 4588

class ModelTrainingDataChannel < Struct.new(
  :ml_input_channel_arn,
  :channel_name,
  :s3_data_distribution_type)
  SENSITIVE = []
  include Aws::Structure
end