Starts the running of the version of a model
Starts the running of the version of a model. Starting a model takes a
while to complete. To check the current state of the model, use
describe_project_versions.
Once the model is running, you can detect custom labels in new images by
calling detect_custom_labels.
You are charged for the amount of time that the model is running. To
stop a running model, call
stop_project_version.
This operation requires permissions to perform the
rekognition:StartProjectVersion action.
rekognition_start_project_version(ProjectVersionArn, MinInferenceUnits)
ProjectVersionArn |
[required] The Amazon Resource Name(ARN) of the model version that you want to start. |
MinInferenceUnits |
[required] The minimum number of inference units to use. A single inference unit represents 1 hour of processing and can support up to 5 Transaction Pers Second (TPS). Use a higher number to increase the TPS throughput of your model. You are charged for the number of inference units that you use. |
A list with the following syntax:
list( Status = "TRAINING_IN_PROGRESS"|"TRAINING_COMPLETED"|"TRAINING_FAILED"|"STARTING"|"RUNNING"|"FAILED"|"STOPPING"|"STOPPED"|"DELETING" )
svc$start_project_version( ProjectVersionArn = "string", MinInferenceUnits = 123 )
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