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Existing customers can continue to use the service as normal.
For capabilities similar to Amazon Lookout for Equipment see our
blog post
ListInferenceExecutions
Lists all inference executions that have been performed by the specified inference scheduler.
Request Syntax
{
"DataEndTimeBefore": number
,
"DataStartTimeAfter": number
,
"InferenceSchedulerName": "string
",
"MaxResults": number
,
"NextToken": "string
",
"Status": "string
"
}
Request Parameters
The request accepts the following data in JSON format.
- DataEndTimeBefore
-
The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.
Type: Timestamp
Required: No
- DataStartTimeAfter
-
The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.
Type: Timestamp
Required: No
- InferenceSchedulerName
-
The name of the inference scheduler for the inference execution listed.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
Required: Yes
- MaxResults
-
Specifies the maximum number of inference executions to list.
Type: Integer
Valid Range: Minimum value of 1. Maximum value of 500.
Required: No
- NextToken
-
An opaque pagination token indicating where to continue the listing of inference executions.
Type: String
Length Constraints: Maximum length of 8192.
Pattern:
\p{ASCII}{0,8192}
Required: No
- Status
-
The status of the inference execution.
Type: String
Valid Values:
IN_PROGRESS | SUCCESS | FAILED
Required: No
Response Syntax
{
"InferenceExecutionSummaries": [
{
"CustomerResultObject": {
"Bucket": "string",
"Key": "string"
},
"DataEndTime": number,
"DataInputConfiguration": {
"InferenceInputNameConfiguration": {
"ComponentTimestampDelimiter": "string",
"TimestampFormat": "string"
},
"InputTimeZoneOffset": "string",
"S3InputConfiguration": {
"Bucket": "string",
"Prefix": "string"
}
},
"DataOutputConfiguration": {
"KmsKeyId": "string",
"S3OutputConfiguration": {
"Bucket": "string",
"Prefix": "string"
}
},
"DataStartTime": number,
"FailedReason": "string",
"InferenceSchedulerArn": "string",
"InferenceSchedulerName": "string",
"ModelArn": "string",
"ModelName": "string",
"ModelVersion": number,
"ModelVersionArn": "string",
"ScheduledStartTime": number,
"Status": "string"
}
],
"NextToken": "string"
}
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.
- InferenceExecutionSummaries
-
Provides an array of information about the individual inference executions returned from the
ListInferenceExecutions
operation, including model used, inference scheduler, data configuration, and so on.Note
If you don't supply the
InferenceSchedulerName
request parameter, or if you supply the name of an inference scheduler that doesn't exist,ListInferenceExecutions
returns an empty array inInferenceExecutionSummaries
.Type: Array of InferenceExecutionSummary objects
- NextToken
-
An opaque pagination token indicating where to continue the listing of inference executions.
Type: String
Length Constraints: Maximum length of 8192.
Pattern:
\p{ASCII}{0,8192}
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
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: