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