LookoutforVision / Client / delete_dataset
Deletes an existing Amazon Lookout for Vision
If your the project has a single dataset, you must create a new dataset before you can create a model.
If you project has a training dataset and a test dataset consider the following.
If you delete the test dataset, your project reverts to a single dataset project. If you then train the model, Amazon Lookout for Vision internally splits the remaining dataset into a training and test dataset.
If you delete the training dataset, you must create a training dataset before you can create a model.
This operation requires permissions to perform the
See also: AWS API Documentation
response = client.delete_dataset( ProjectName='string', DatasetType='string', ClientToken='string' )
ProjectName (string) –
The name of the project that contains the dataset that you want to delete.
DatasetType (string) –
The type of the dataset to delete. Specify
trainto delete the training dataset. Specify
testto delete the test dataset. To delete the dataset in a single dataset project, specify
ClientToken (string) –
ClientToken is an idempotency token that ensures a call to
DeleteDatasetcompletes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from
DeleteDataset. In this case, safely retry your call to
DeleteDatasetby using the same
If you don’t supply a value for
ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple deletetion requests. You’ll need to provide your own value for other use cases.
An error occurs if the other input parameters are not the same as in the first request. Using a different value for
ClientTokenis considered a new call to
DeleteDataset. An idempotency token is active for 8 hours.
This field is autopopulated if not provided.
- Return type: