Struct aws_sdk_comprehend::operation::create_dataset::builders::CreateDatasetInputBuilder

#[non_exhaustive]
pub struct CreateDatasetInputBuilder { /* private fields */ }

A builder for CreateDatasetInput.

Implementations

impl CreateDatasetInputBuilder

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.

This field is required.

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.

This field is required.

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.

This field is required.

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.

pub fn build(self) -> Result<CreateDatasetInput, BuildError>

Consumes the builder and constructs a CreateDatasetInput.

impl CreateDatasetInputBuilder

pub async fn send_with( self, client: &Client ) -> Result<CreateDatasetOutput, SdkError<CreateDatasetError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations

impl Clone for CreateDatasetInputBuilder

fn clone(&self) -> CreateDatasetInputBuilder

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDatasetInputBuilder

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

Formats the value using the given formatter.

impl Default for CreateDatasetInputBuilder

fn default() -> CreateDatasetInputBuilder

Returns the “default value” for a type.

impl PartialEq for CreateDatasetInputBuilder

fn eq(&self, other: &CreateDatasetInputBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateDatasetInputBuilder