Struct aws_sdk_rekognition::model::TrainingDataResult

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

Sagemaker Groundtruth format manifest files for the input, output and validation datasets that are used and created during testing.

Implementations

impl TrainingDataResult

pub fn input(&self) -> Option<&TrainingData>

The training assets that you supplied for training.

pub fn output(&self) -> Option<&TrainingData>

The images (assets) that were actually trained by Amazon Rekognition Custom Labels.

pub fn validation(&self) -> Option<&ValidationData>

The location of the data validation manifest. The data validation manifest is created for the training dataset during model training.

impl TrainingDataResult

pub fn builder() -> Builder

Creates a new builder-style object to manufacture TrainingDataResult.

Trait Implementations

impl Clone for TrainingDataResult

fn clone(&self) -> TrainingDataResult

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingDataResult

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

Formats the value using the given formatter.

impl PartialEq<TrainingDataResult> for TrainingDataResult

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