Class: Aws::SageMaker::Types::MonitoringJobDefinition
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::MonitoringJobDefinition
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Defines the monitoring job.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#baseline_config ⇒ Types::MonitoringBaselineConfig
Baseline configuration used to validate that the data conforms to the specified constraints and statistics.
-
#environment ⇒ Hash<String,String>
Sets the environment variables in the Docker container.
-
#monitoring_app_specification ⇒ Types::MonitoringAppSpecification
Configures the monitoring job to run a specified Docker container image.
-
#monitoring_inputs ⇒ Array<Types::MonitoringInput>
The array of inputs for the monitoring job.
-
#monitoring_output_config ⇒ Types::MonitoringOutputConfig
The array of outputs from the monitoring job to be uploaded to Amazon S3.
-
#monitoring_resources ⇒ Types::MonitoringResources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job.
-
#network_config ⇒ Types::NetworkConfig
Specifies networking options for an monitoring job.
-
#role_arn ⇒ String
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
-
#stopping_condition ⇒ Types::MonitoringStoppingCondition
Specifies a time limit for how long the monitoring job is allowed to run.
Instance Attribute Details
#baseline_config ⇒ Types::MonitoringBaselineConfig
Baseline configuration used to validate that the data conforms to the specified constraints and statistics
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#environment ⇒ Hash<String,String>
Sets the environment variables in the Docker container.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#monitoring_app_specification ⇒ Types::MonitoringAppSpecification
Configures the monitoring job to run a specified Docker container image.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#monitoring_inputs ⇒ Array<Types::MonitoringInput>
The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker AI Endpoint.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#monitoring_output_config ⇒ Types::MonitoringOutputConfig
The array of outputs from the monitoring job to be uploaded to Amazon S3.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#monitoring_resources ⇒ Types::MonitoringResources
Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#network_config ⇒ Types::NetworkConfig
Specifies networking options for an monitoring job.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#role_arn ⇒ String
The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker AI can assume to perform tasks on your behalf.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |
#stopping_condition ⇒ Types::MonitoringStoppingCondition
Specifies a time limit for how long the monitoring job is allowed to run.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 38190 class MonitoringJobDefinition < Struct.new( :baseline_config, :monitoring_inputs, :monitoring_output_config, :monitoring_resources, :monitoring_app_specification, :stopping_condition, :environment, :network_config, :role_arn) SENSITIVE = [] include Aws::Structure end |