Struct aws_sdk_lookoutvision::operation::create_dataset::builders::CreateDatasetInputBuilder

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

A builder for CreateDatasetInput.

Implementations

impl CreateDatasetInputBuilder

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

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

This field is required.

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.

This field is required.

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.

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