Struct aws_sdk_rekognition::model::TestingData

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

The dataset used for testing. Optionally, if AutoCreate is set, Amazon Rekognition Custom Labels uses the training dataset to create a test dataset with a temporary split of the training dataset.

Implementations

impl TestingData

pub fn assets(&self) -> Option<&[Asset]>

The assets used for testing.

pub fn auto_create(&self) -> bool

If specified, Amazon Rekognition Custom Labels temporarily splits the training dataset (80%) to create a test dataset (20%) for the training job. After training completes, the test dataset is not stored and the training dataset reverts to its previous size.

impl TestingData

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TestingData.

Trait Implementations

impl Clone for TestingData

fn clone(&self) -> TestingData

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TestingData

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

Formats the value using the given formatter.

impl PartialEq<TestingData> for TestingData

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