Struct rusoto_rekognition::TrainingDataResult

pub struct TrainingDataResult {
    pub input: Option<TrainingData>,
    pub output: Option<TrainingData>,
    pub validation: Option<ValidationData>,
}

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

Fields

input: Option<TrainingData>

The training assets that you supplied for training.

output: Option<TrainingData>

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

validation: Option<ValidationData>

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

Trait Implementations

impl Clone for TrainingDataResult

pub fn clone(&self) -> TrainingDataResult

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for TrainingDataResult

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

Formats the value using the given formatter.

impl Default for TrainingDataResult

pub fn default() -> TrainingDataResult

Returns the "default value" for a type.

impl<'de> Deserialize<'de> for TrainingDataResult

pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<TrainingDataResult> for TrainingDataResult

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

This method tests for self and other values to be equal, and is used by ==.

pub fn ne(&self, other: &TrainingDataResult) -> bool

This method tests for !=.

impl StructuralPartialEq for TrainingDataResult