Struct aws_sdk_lookoutvision::operation::update_dataset_entries::UpdateDatasetEntriesInput

#[non_exhaustive]
pub struct UpdateDatasetEntriesInput {
    pub project_name: Option<String>,
    pub dataset_type: Option<String>,
    pub changes: Option<Blob>,
    pub client_token: Option<String>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

project_name: Option<String>

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

dataset_type: Option<String>

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.

changes: Option<Blob>

The entries to add to the dataset.

client_token: Option<String>

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.

Implementations

impl UpdateDatasetEntriesInput

pub fn project_name(&self) -> Option<&str>

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

pub fn dataset_type(&self) -> Option<&str>

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) -> Option<&Blob>

The entries to add to the dataset.

pub fn client_token(&self) -> Option<&str>

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.

impl UpdateDatasetEntriesInput

pub fn builder() -> UpdateDatasetEntriesInputBuilder

Creates a new builder-style object to manufacture UpdateDatasetEntriesInput.

Trait Implementations

impl Clone for UpdateDatasetEntriesInput

fn clone(&self) -> UpdateDatasetEntriesInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for UpdateDatasetEntriesInput

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

Formats the value using the given formatter.

impl PartialEq for UpdateDatasetEntriesInput

fn eq(&self, other: &UpdateDatasetEntriesInput) -> 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 UpdateDatasetEntriesInput