[ aws . lookoutvision ]

delete-dataset

Description

Deletes an existing Amazon Lookout for Vision dataset .

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 lookoutvision:DeleteDataset operation.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  delete-dataset
--project-name <value>
--dataset-type <value>
[--client-token <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--project-name (string)

The name of the project that contains the dataset that you want to delete.

--dataset-type (string)

The type of the dataset to delete. Specify train to delete the training dataset. Specify test to delete the test dataset. To delete the dataset in a single dataset project, specify train .

--client-token (string)

ClientToken is an idempotency token that ensures a call to DeleteDataset completes only once. You choose the value to pass. For example, An issue, such as an network outage, might prevent you from getting a response from DeleteDataset . In this case, safely retry your call to DeleteDataset by using the same ClientToken parameter value. An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteDataset . An idempotency token is active for 8 hours.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

None