Struct aws_sdk_lookoutvision::operation::create_dataset::builders::CreateDatasetFluentBuilder

pub struct CreateDatasetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateDataset.

Creates a new dataset in an Amazon Lookout for Vision project. CreateDataset can create a training or a test dataset from a valid dataset source (DatasetSource).

If you want a single dataset project, specify train for the value of DatasetType.

To have a project with separate training and test datasets, call CreateDataset twice. On the first call, specify train for the value of DatasetType. On the second call, specify test for the value of DatasetType.

This operation requires permissions to perform the lookoutvision:CreateDataset operation.

Implementations

impl CreateDatasetFluentBuilder

pub fn as_input(&self) -> &CreateDatasetInputBuilder

Access the CreateDataset as a reference.

pub async fn send( self ) -> Result<CreateDatasetOutput, SdkError<CreateDatasetError, 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<CreateDatasetOutput, CreateDatasetError, 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 in which you want to create a dataset.

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

The name of the project in which you want to create a dataset.

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

The name of the project in which you want to create a dataset.

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

The type of the dataset. Specify train for a training dataset. Specify test for a test dataset.

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

The type of the dataset. Specify train for a training dataset. Specify test for a test dataset.

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

The type of the dataset. Specify train for a training dataset. Specify test for a test dataset.

pub fn dataset_source(self, input: DatasetSource) -> Self

The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.

If you don't specify DatasetSource, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries.

If you specify a value for DataSource, the manifest at the S3 location is validated and used to create the dataset. The call to CreateDataset is asynchronous and might take a while to complete. To find out the current status, Check the value of Status returned in a call to DescribeDataset.

pub fn set_dataset_source(self, input: Option<DatasetSource>) -> Self

The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.

If you don't specify DatasetSource, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries.

If you specify a value for DataSource, the manifest at the S3 location is validated and used to create the dataset. The call to CreateDataset is asynchronous and might take a while to complete. To find out the current status, Check the value of Status returned in a call to DescribeDataset.

pub fn get_dataset_source(&self) -> &Option<DatasetSource>

The location of the manifest file that Amazon Lookout for Vision uses to create the dataset.

If you don't specify DatasetSource, an empty dataset is created and the operation synchronously returns. Later, you can add JSON Lines by calling UpdateDatasetEntries.

If you specify a value for DataSource, the manifest at the S3 location is validated and used to create the dataset. The call to CreateDataset is asynchronous and might take a while to complete. To find out the current status, Check the value of Status returned in a call to DescribeDataset.

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

ClientToken is an idempotency token that ensures a call to CreateDataset completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from CreateDataset. In this case, safely retry your call to CreateDataset 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 dataset creation 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 CreateDataset. 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 CreateDataset completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from CreateDataset. In this case, safely retry your call to CreateDataset 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 dataset creation 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 CreateDataset. 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 CreateDataset completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from CreateDataset. In this case, safely retry your call to CreateDataset 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 dataset creation 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 CreateDataset. An idempotency token is active for 8 hours.

Trait Implementations

impl Clone for CreateDatasetFluentBuilder

fn clone(&self) -> CreateDatasetFluentBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetFluentBuilder

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

Formats the value using the given formatter.