Struct aws_sdk_comprehend::operation::create_dataset::builders::CreateDatasetFluentBuilder

pub struct CreateDatasetFluentBuilder { /* private fields */ }

Fluent builder constructing a request to CreateDataset.

Creates a dataset to upload training or test data for a model associated with a flywheel. For more information about datasets, see Flywheel overview in the Amazon Comprehend Developer Guide.

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 flywheel_arn(self, input: impl Into<String>) -> Self

The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.

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

The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.

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

The Amazon Resource Number (ARN) of the flywheel of the flywheel to receive the data.

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

Name of the dataset.

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

Name of the dataset.

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

Name of the dataset.

pub fn dataset_type(self, input: DatasetType) -> Self

The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.

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

The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.

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

The dataset type. You can specify that the data in a dataset is for training the model or for testing the model.

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

Description of the dataset.

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

Description of the dataset.

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

Description of the dataset.

pub fn input_data_config(self, input: DatasetInputDataConfig) -> Self

Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.

pub fn set_input_data_config( self, input: Option<DatasetInputDataConfig> ) -> Self

Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.

pub fn get_input_data_config(&self) -> &Option<DatasetInputDataConfig>

Information about the input data configuration. The type of input data varies based on the format of the input and whether the data is for a classifier model or an entity recognition model.

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

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

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

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

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

A unique identifier for the request. If you don't set the client request token, Amazon Comprehend generates one.

pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_tags.

Tags for the dataset.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Tags for the dataset.

pub fn get_tags(&self) -> &Option<Vec<Tag>>

Tags for the dataset.

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.