Class: Aws::SageMaker::Types::TrainingSpecification

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

Overview

Defines how the algorithm is used for a training job.

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#metric_definitions ⇒ Array<Types::MetricDefinition>

A list of ‘MetricDefinition` objects, which are used for parsing metrics generated by the algorithm.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#supported_hyper_parameters ⇒ Array<Types::HyperParameterSpecification>

A list of the ‘HyperParameterSpecification` objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.&gt;

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#supported_training_instance_types ⇒ Array<String>

A list of the instance types that this algorithm can use for training.

Returns:

  • (Array<String>) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#supported_tuning_job_objective_metrics ⇒ Array<Types::HyperParameterTuningJobObjective>

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#supports_distributed_training ⇒ Boolean

Indicates whether the algorithm supports distributed training. If set to false, buyers can’t request more than one instance during training.

Returns:

  • (Boolean) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#training_channels ⇒ Array<Types::ChannelSpecification>

A list of ‘ChannelSpecification` objects, which specify the input sources to be used by the algorithm.

Returns:



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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#training_image ⇒ String

The Amazon ECR registry path of the Docker image that contains the training algorithm.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end

#training_image_digest ⇒ String

An MD5 hash of the training algorithm that identifies the Docker image used for training.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 38537

class TrainingSpecification < Struct.new(
  :training_image,
  :training_image_digest,
  :supported_hyper_parameters,
  :supported_training_instance_types,
  :supports_distributed_training,
  :metric_definitions,
  :training_channels,
  :supported_tuning_job_objective_metrics)
  SENSITIVE = []
  include Aws::Structure
end