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StartProjectVersionRequest

Source code in docs_src/capo_rekognition/types/start_project_version_request.py 
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class StartProjectVersionRequest(TypedDict, closed=True):
    project_version_arn: "capo_rekognition.types.project_version_arn.ProjectVersionArn"
    """<p>The Amazon Resource Name(ARN) of the model version that you want to start.</p>"""
    min_inference_units: "capo_rekognition.types.inference_units.InferenceUnits"
    """<p>The minimum number of inference units to use. A single inference unit represents 1 hour of processing. </p> <p>Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use. </p>"""
    max_inference_units: NotRequired[
        "capo_rekognition.types.inference_units.InferenceUnits"
    ]
    """<p>The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.</p>"""

max_inference_units instance-attribute 

max_inference_units: NotRequired[InferenceUnits]

The maximum number of inference units to use for auto-scaling the model. If you don't specify a value, Amazon Rekognition Custom Labels doesn't auto-scale the model.

min_inference_units instance-attribute 

min_inference_units: InferenceUnits

The minimum number of inference units to use. A single inference unit represents 1 hour of processing.

Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use.

project_version_arn instance-attribute 

project_version_arn: ProjectVersionArn

The Amazon Resource Name(ARN) of the model version that you want to start.