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InferenceRecommendation

Source code in docs_src/capo_sagemaker/types/inference_recommendation.py 
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class InferenceRecommendation(TypedDict, closed=True):
    recommendation_id: NotRequired["capo_sagemaker.types.string.String"]
    """<p>The recommendation ID which uniquely identifies each recommendation.</p>"""
    metrics: NotRequired[
        "capo_sagemaker.types.recommendation_metrics.RecommendationMetrics"
    ]
    """<p>The metrics used to decide what recommendation to make.</p>"""
    endpoint_configuration: NotRequired[
        "capo_sagemaker.types.endpoint_output_configuration.EndpointOutputConfiguration"
    ]
    """<p>Defines the endpoint configuration parameters.</p>"""
    model_configuration: NotRequired[
        "capo_sagemaker.types.model_configuration.ModelConfiguration"
    ]
    """<p>Defines the model configuration.</p>"""
    invocation_end_time: NotRequired[
        "capo_sagemaker.types.invocation_end_time.InvocationEndTime"
    ]
    """<p>A timestamp that shows when the benchmark completed.</p>"""
    invocation_start_time: NotRequired[
        "capo_sagemaker.types.invocation_start_time.InvocationStartTime"
    ]
    """<p>A timestamp that shows when the benchmark started.</p>"""

endpoint_configuration instance-attribute 

endpoint_configuration: NotRequired[EndpointOutputConfiguration]

Defines the endpoint configuration parameters.

invocation_end_time instance-attribute 

invocation_end_time: NotRequired[InvocationEndTime]

A timestamp that shows when the benchmark completed.

invocation_start_time instance-attribute 

invocation_start_time: NotRequired[InvocationStartTime]

A timestamp that shows when the benchmark started.

metrics instance-attribute 

metrics: NotRequired[RecommendationMetrics]

The metrics used to decide what recommendation to make.

model_configuration instance-attribute 

model_configuration: NotRequired[ModelConfiguration]

Defines the model configuration.

recommendation_id instance-attribute 

recommendation_id: NotRequired[String]

The recommendation ID which uniquely identifies each recommendation.