Struct aws_sdk_lookoutvision::client::fluent_builders::UpdateDatasetEntries

pub struct UpdateDatasetEntries { /* private fields */ }

Fluent builder constructing a request to UpdateDatasetEntries.

Adds or updates one or more JSON Line entries in a dataset. A JSON Line includes information about an image used for training or testing an Amazon Lookout for Vision model.

To update an existing JSON Line, use the source-ref field to identify the JSON Line. The JSON line that you supply replaces the existing JSON line. Any existing annotations that are not in the new JSON line are removed from the dataset.

For more information, see Defining JSON lines for anomaly classification in the Amazon Lookout for Vision Developer Guide.

The images you reference in the source-ref field of a JSON line, must be in the same S3 bucket as the existing images in the dataset.

Updating a dataset might take a while to complete. To check the current status, call DescribeDataset and check the Status field in the response.

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

Implementations

impl UpdateDatasetEntries

pub async fn send(
    self
) -> Result<UpdateDatasetEntriesOutput, SdkError<UpdateDatasetEntriesError>>

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

The name of the project that contains the dataset that you want to update.

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

The name of the project that contains the dataset that you want to update.

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

The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.

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

The type of the dataset that you want to update. Specify train to update the training dataset. Specify test to update the test dataset. If you have a single dataset project, specify train.

pub fn changes(self, input: Blob) -> Self

The entries to add to the dataset.

pub fn set_changes(self, input: Option<Blob>) -> Self

The entries to add to the dataset.

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

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

Trait Implementations

impl Clone for UpdateDatasetEntries

fn clone(&self) -> UpdateDatasetEntries

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateDatasetEntries

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

Formats the value using the given formatter.