DeleteDataset
Deletes a dataset and associated artifacts. The operation will check to see if any inference scheduler or data ingestion job is currently using the dataset, and if there isn't, the dataset, its metadata, and any associated data stored in S3 will be deleted. This does not affect any models that used this dataset for training and evaluation, but does prevent it from being used in the future.
Request Syntax
{
"DatasetName": "string"
}Request Parameters
The request accepts the following data in JSON format.
- DatasetName
-
The name of the dataset to be deleted.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$Required: Yes
Response Elements
If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.
Errors
- AccessDeniedException
-
The request could not be completed because you do not have access to the resource.
HTTP Status Code: 400
- ConflictException
-
The request could not be completed due to a conflict with the current state of the target 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:
