Class: Aws::SageMaker::Types::TrainingSpecification
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::TrainingSpecification
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Defines how the algorithm is used for a training job.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#additional_s3_data_source ⇒ Types::AdditionalS3DataSource
The additional data source used during the training job.
-
#metric_definitions ⇒ Array<Types::MetricDefinition>
A list of ‘MetricDefinition` objects, which are used for parsing metrics generated by the algorithm.
-
#supported_hyper_parameters ⇒ Array<Types::HyperParameterSpecification>
A list of the ‘HyperParameterSpecification` objects, that define the supported hyperparameters.
-
#supported_training_instance_types ⇒ Array<String>
A list of the instance types that this algorithm can use for training.
-
#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.
-
#supports_distributed_training ⇒ Boolean
Indicates whether the algorithm supports distributed training.
-
#training_channels ⇒ Array<Types::ChannelSpecification>
A list of ‘ChannelSpecification` objects, which specify the input sources to be used by the algorithm.
-
#training_image ⇒ String
The Amazon ECR registry path of the Docker image that contains the training algorithm.
-
#training_image_digest ⇒ String
An MD5 hash of the training algorithm that identifies the Docker image used for training.
Instance Attribute Details
#additional_s3_data_source ⇒ Types::AdditionalS3DataSource
The additional data source used during the training job.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) SENSITIVE = [] include Aws::Structure end |
#metric_definitions ⇒ Array<Types::MetricDefinition>
A list of ‘MetricDefinition` objects, which are used for parsing metrics generated by the algorithm.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) 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.>
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) SENSITIVE = [] include Aws::Structure end |
#supported_training_instance_types ⇒ Array<String>
A list of the instance types that this algorithm can use for training.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) 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.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) 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.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) 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.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) SENSITIVE = [] include Aws::Structure end |
#training_image ⇒ String
The Amazon ECR registry path of the Docker image that contains the training algorithm.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) SENSITIVE = [] include Aws::Structure end |
#training_image_digest ⇒ String
An MD5 hash of the training algorithm that identifies the Docker image used for training.
41491 41492 41493 41494 41495 41496 41497 41498 41499 41500 41501 41502 41503 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 41491 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, :additional_s3_data_source) SENSITIVE = [] include Aws::Structure end |