Struct DeleteDatasetFluentBuilder 

pub struct DeleteDatasetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to DeleteDataset.

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.

Implementations

impl DeleteDatasetFluentBuilder

pub fn as_input(&self) -> &DeleteDatasetInputBuilder

Access the DeleteDataset as a reference.

pub async fn send( self, ) -> Result<DeleteDatasetOutput, SdkError<DeleteDatasetError, HttpResponse>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn customize( self, ) -> CustomizableOperation<DeleteDatasetOutput, DeleteDatasetError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

pub fn project_name(self, input: impl Into<String>) -> Self

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

pub fn set_project_name(self, input: Option<String>) -> Self

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

pub fn get_project_name(&self) -> &Option<String>

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

pub fn dataset_type(self, input: impl Into<String>) -> Self

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.

pub fn set_dataset_type(self, input: Option<String>) -> Self

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.

pub fn get_dataset_type(&self) -> &Option<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.

pub fn client_token(self, input: impl Into<String>) -> Self

ClientToken is an idempotency token that ensures a call to DeleteDataset completes 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 DeleteDataset by using the same ClientToken parameter value.

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 ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.

pub fn set_client_token(self, input: Option<String>) -> Self

ClientToken is an idempotency token that ensures a call to DeleteDataset completes 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 DeleteDataset by using the same ClientToken parameter value.

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 ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.

pub fn get_client_token(&self) -> &Option<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 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.

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 ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.

Trait Implementations

impl Clone for DeleteDatasetFluentBuilder

fn clone(&self) -> DeleteDatasetFluentBuilder

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for DeleteDatasetFluentBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.