start_inference_scheduler

start_inference_scheduler(**kwargs)

Starts an inference scheduler.

See also: AWS API Documentation

Request Syntax

response = client.start_inference_scheduler(
    InferenceSchedulerName='string'
)
Parameters
InferenceSchedulerName (string) --

[REQUIRED]

The name of the inference scheduler to be started.

Return type
dict
Returns
Response Syntax
{
    'ModelArn': 'string',
    'ModelName': 'string',
    'InferenceSchedulerName': 'string',
    'InferenceSchedulerArn': 'string',
    'Status': 'PENDING'|'RUNNING'|'STOPPING'|'STOPPED'
}

Response Structure

  • (dict) --
    • ModelArn (string) --

      The Amazon Resource Name (ARN) of the ML model being used by the inference scheduler.

    • ModelName (string) --

      The name of the ML model being used by the inference scheduler.

    • InferenceSchedulerName (string) --

      The name of the inference scheduler being started.

    • InferenceSchedulerArn (string) --

      The Amazon Resource Name (ARN) of the inference scheduler being started.

    • Status (string) --

      Indicates the status of the inference scheduler.

Exceptions

  • LookoutEquipment.Client.exceptions.ValidationException
  • LookoutEquipment.Client.exceptions.ConflictException
  • LookoutEquipment.Client.exceptions.ResourceNotFoundException
  • LookoutEquipment.Client.exceptions.ThrottlingException
  • LookoutEquipment.Client.exceptions.AccessDeniedException
  • LookoutEquipment.Client.exceptions.InternalServerException