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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.>
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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.
38699 38700 38701 38702 38703 38704 38705 38706 38707 38708 38709 38710 38711 |
# File 'lib/aws-sdk-sagemaker/types.rb', line 38699 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 |