Class: Aws::SageMaker::Types::DescribeInferenceExperimentResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::DescribeInferenceExperimentResponse
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#arn ⇒ String
The ARN of the inference experiment being described.
-
#completion_time ⇒ Time
The timestamp at which the inference experiment was completed.
-
#creation_time ⇒ Time
The timestamp at which you created the inference experiment.
-
#data_storage_config ⇒ Types::InferenceExperimentDataStorageConfig
The Amazon S3 location and configuration for storing inference request and response data.
-
#description ⇒ String
The description of the inference experiment.
-
#endpoint_metadata ⇒ Types::EndpointMetadata
The metadata of the endpoint on which the inference experiment ran.
-
#kms_key ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint.
-
#last_modified_time ⇒ Time
The timestamp at which you last modified the inference experiment.
-
#model_variants ⇒ Array<Types::ModelVariantConfigSummary>
An array of ‘ModelVariantConfigSummary` objects.
-
#name ⇒ String
The name of the inference experiment.
-
#role_arn ⇒ String
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
-
#schedule ⇒ Types::InferenceExperimentSchedule
The duration for which the inference experiment ran or will run.
-
#shadow_mode_config ⇒ Types::ShadowModeConfig
The configuration of ‘ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests.
-
#status ⇒ String
The status of the inference experiment.
-
#status_reason ⇒ String
The error message or client-specified ‘Reason` from the [StopInferenceExperiment] API, that explains the status of the inference experiment.
-
#type ⇒ String
The type of the inference experiment.
Instance Attribute Details
#arn ⇒ String
The ARN of the inference experiment being described.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#completion_time ⇒ Time
The timestamp at which the inference experiment was completed.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#creation_time ⇒ Time
The timestamp at which you created the inference experiment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#data_storage_config ⇒ Types::InferenceExperimentDataStorageConfig
The Amazon S3 location and configuration for storing inference request and response data.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#description ⇒ String
The description of the inference experiment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#endpoint_metadata ⇒ Types::EndpointMetadata
The metadata of the endpoint on which the inference experiment ran.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#kms_key ⇒ String
The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. For more information, see [CreateInferenceExperiment].
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateInferenceExperiment.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#last_modified_time ⇒ Time
The timestamp at which you last modified the inference experiment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#model_variants ⇒ Array<Types::ModelVariantConfigSummary>
An array of ‘ModelVariantConfigSummary` objects. There is one for each variant in the inference experiment. Each `ModelVariantConfigSummary` object in the array describes the infrastructure configuration for deploying the corresponding variant.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#name ⇒ String
The name of the inference experiment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#role_arn ⇒ String
The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#schedule ⇒ Types::InferenceExperimentSchedule
The duration for which the inference experiment ran or will run.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#shadow_mode_config ⇒ Types::ShadowModeConfig
The configuration of ‘ShadowMode` inference experiment type, which shows the production variant that takes all the inference requests, and the shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also shows the percentage of requests that Amazon SageMaker replicates.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#status ⇒ String
The status of the inference experiment. The following are the possible statuses for an inference experiment:
-
‘Creating` - Amazon SageMaker is creating your experiment.
-
‘Created` - Amazon SageMaker has finished the creation of your experiment and will begin the experiment at the scheduled time.
-
‘Updating` - When you make changes to your experiment, your experiment shows as updating.
-
‘Starting` - Amazon SageMaker is beginning your experiment.
-
‘Running` - Your experiment is in progress.
-
‘Stopping` - Amazon SageMaker is stopping your experiment.
-
‘Completed` - Your experiment has completed.
-
‘Cancelled` - When you conclude your experiment early using the
- StopInferenceExperiment][1
-
API, or if any operation fails with
an unexpected error, it shows as cancelled.
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopInferenceExperiment.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#status_reason ⇒ String
The error message or client-specified ‘Reason` from the
- StopInferenceExperiment][1
-
API, that explains the status of the
inference experiment.
[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_StopInferenceExperiment.html
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |
#type ⇒ String
The type of the inference experiment.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 15269 class DescribeInferenceExperimentResponse < Struct.new( :arn, :name, :type, :schedule, :status, :status_reason, :description, :creation_time, :completion_time, :last_modified_time, :role_arn, :endpoint_metadata, :model_variants, :data_storage_config, :shadow_mode_config, :kms_key) SENSITIVE = [] include Aws::Structure end |