Request Syntax Request Parameters Response Syntax Response Elements Errors See Also

DescribeInferenceScheduler

Specifies information about the inference scheduler being used, including name, model, status, and associated metadata

Request Syntax


{
   "InferenceSchedulerName": "string"
}

Request Parameters

The request accepts the following data in JSON format.

InferenceSchedulerName

The name of the inference scheduler being described.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

Required: Yes

Response Syntax


{
   "CreatedAt": number,
   "DataDelayOffsetInMinutes": number,
   "DataInputConfiguration": { 
      "InferenceInputNameConfiguration": { 
         "ComponentTimestampDelimiter": "string",
         "TimestampFormat": "string"
      },
      "InputTimeZoneOffset": "string",
      "S3InputConfiguration": { 
         "Bucket": "string",
         "Prefix": "string"
      }
   },
   "DataOutputConfiguration": { 
      "KmsKeyId": "string",
      "S3OutputConfiguration": { 
         "Bucket": "string",
         "Prefix": "string"
      }
   },
   "DataUploadFrequency": "string",
   "InferenceSchedulerArn": "string",
   "InferenceSchedulerName": "string",
   "LatestInferenceResult": "string",
   "ModelArn": "string",
   "ModelName": "string",
   "RoleArn": "string",
   "ServerSideKmsKeyId": "string",
   "Status": "string",
   "UpdatedAt": number
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

CreatedAt

Specifies the time at which the inference scheduler was created.

Type: Timestamp

DataDelayOffsetInMinutes

A period of time (in minutes) by which inference on the data is delayed after the data starts. For instance, if you select an offset delay time of five minutes, inference will not begin on the data until the first data measurement after the five minute mark. For example, if five minutes is selected, the inference scheduler will wake up at the configured frequency with the additional five minute delay time to check the customer S3 bucket. The customer can upload data at the same frequency and they don't need to stop and restart the scheduler when uploading new data.

Type: Long

Valid Range: Minimum value of 0. Maximum value of 60.

DataInputConfiguration

Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

Type: InferenceInputConfiguration object

DataOutputConfiguration

Specifies information for the output results for the inference scheduler, including the output S3 location.

Type: InferenceOutputConfiguration object

DataUploadFrequency

Specifies how often data is uploaded to the source S3 bucket for the input data. This value is the length of time between data uploads. For instance, if you select 5 minutes, Amazon Lookout for Equipment will upload the real-time data to the source bucket once every 5 minutes. This frequency also determines how often Amazon Lookout for Equipment starts a scheduled inference on your data. In this example, it starts once every 5 minutes.

Type: String

Valid Values: PT5M | PT10M | PT15M | PT30M | PT1H

InferenceSchedulerArn

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

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:inference-scheduler\/.+

InferenceSchedulerName

The name of the inference scheduler being described.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

LatestInferenceResult

Indicates whether the latest execution for the inference scheduler was Anomalous (anomalous events found) or Normal (no anomalous events found).

Type: String

Valid Values: ANOMALOUS | NORMAL

ModelArn

The Amazon Resource Name (ARN) of the machine learning model of the inference scheduler being described.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/.+

ModelName

The name of the machine learning model of the inference scheduler being described.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 200.

Pattern: ^[0-9a-zA-Z_-]{1,200}$

RoleArn

The Amazon Resource Name (ARN) of a role with permission to access the data source for the inference scheduler being described.

Type: String

Length Constraints: Minimum length of 20. Maximum length of 2048.

Pattern: arn:aws(-[^:]+)?:iam::[0-9]{12}:role/.+

ServerSideKmsKeyId

Provides the identifier of the AWS KMS key used to encrypt inference scheduler data by Amazon Lookout for Equipment.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 1024.

Pattern: arn:aws[a-z\-]*:kms:[a-z0-9\-]*:\d{12}:[\w\-\/]+

Status

Indicates the status of the inference scheduler.

Type: String

Valid Values: PENDING | RUNNING | STOPPING | STOPPED

UpdatedAt

Specifies the time at which the inference scheduler was last updated, if it was.

Type: Timestamp

Errors

AccessDeniedException

The request could not be completed because you do not have access to the resource.

HTTP Status Code: 400

InternalServerException

Processing of the request has failed because of an unknown error, exception or failure.

HTTP Status Code: 500

ResourceNotFoundException

The resource requested could not be found. Verify the resource ID and retry your request.

HTTP Status Code: 400

ThrottlingException

The request was denied due to request throttling.

HTTP Status Code: 400

ValidationException

The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.

HTTP Status Code: 400