Struct aws_sdk_rekognition::operation::create_dataset::builders::CreateDatasetInputBuilder

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

A builder for CreateDatasetInput.

Implementations

impl CreateDatasetInputBuilder

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

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

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

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

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

The source files for the dataset. You can specify the ARN of an existing dataset or specify the Amazon S3 bucket location of an Amazon Sagemaker format manifest file. If you don't specify datasetSource, an empty dataset is created. To add labeled images to the dataset, You can use the console or call UpdateDatasetEntries.

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

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

This field is required.

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

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

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

The type of the dataset. Specify TRAIN to create a training dataset. Specify TEST to create a test dataset.

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

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

This field is required.

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

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign the dataset.

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

The ARN of the Amazon Rekognition Custom Labels project to which you want to asssign 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