Struct aws_sdk_rekognition::types::TrainingData

#[non_exhaustive]
pub struct TrainingData {
    pub assets: Option<Vec<Asset>>,
}

The dataset used for training.

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.

assets: Option<Vec<Asset>>

A Sagemaker GroundTruth manifest file that contains the training images (assets).

Implementations

impl TrainingData

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

A Sagemaker GroundTruth manifest file that contains the training images (assets).

impl TrainingData

pub fn builder() -> TrainingDataBuilder

Creates a new builder-style object to manufacture TrainingData.

Trait Implementations

impl Clone for TrainingData

fn clone(&self) -> TrainingData

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingData

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

Formats the value using the given formatter.

impl PartialEq<TrainingData> for TrainingData

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