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EndpointOutputConfiguration

Source code in docs_src/capo_sagemaker/types/endpoint_output_configuration.py 
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class EndpointOutputConfiguration(TypedDict, closed=True):
    endpoint_name: NotRequired["capo_sagemaker.types.string.String"]
    """<p>The name of the endpoint made during a recommendation job.</p>"""
    variant_name: NotRequired["capo_sagemaker.types.string.String"]
    """<p>The name of the production variant (deployed model) made during a recommendation job.</p>"""
    instance_type: NotRequired[
        "capo_sagemaker.types.production_variant_instance_type.ProductionVariantInstanceType"
    ]
    """<p>The instance type recommended by Amazon SageMaker Inference Recommender.</p>"""
    initial_instance_count: NotRequired[
        "capo_sagemaker.types.initial_instance_count.InitialInstanceCount"
    ]
    """<p>The number of instances recommended to launch initially.</p>"""
    serverless_config: NotRequired[
        "capo_sagemaker.types.production_variant_serverless_config.ProductionVariantServerlessConfig"
    ]

endpoint_name instance-attribute 

endpoint_name: NotRequired[String]

The name of the endpoint made during a recommendation job.

initial_instance_count instance-attribute 

initial_instance_count: NotRequired[InitialInstanceCount]

The number of instances recommended to launch initially.

instance_type instance-attribute 

instance_type: NotRequired[ProductionVariantInstanceType]

The instance type recommended by Amazon SageMaker Inference Recommender.

serverless_config instance-attribute 

serverless_config: NotRequired[ProductionVariantServerlessConfig]

variant_name instance-attribute 

variant_name: NotRequired[String]

The name of the production variant (deployed model) made during a recommendation job.