Struct TrainingDataResult

#[non_exhaustive]
pub struct TrainingDataResult {
    pub input: Option<TrainingData>,
    pub output: Option<TrainingData>,
    pub validation: Option<ValidationData>,
}

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

input: Option<TrainingData>

The training data that you supplied.

output: Option<TrainingData>

Reference to images (assets) that were actually used during training with trained model predictions.

validation: Option<ValidationData>

A manifest that you supplied for training, with validation results for each line.

Implementations

impl TrainingDataResult

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

The training data that you supplied.

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

Reference to images (assets) that were actually used during training with trained model predictions.

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

A manifest that you supplied for training, with validation results for each line.

impl TrainingDataResult

pub fn builder() -> TrainingDataResultBuilder

Creates a new builder-style object to manufacture TrainingDataResult.

Trait Implementations

impl Clone for TrainingDataResult

fn clone(&self) -> TrainingDataResult

Returns a duplicate of the value.

const 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 for TrainingDataResult

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

Tests for self and other values to be equal, and is used by ==.

const fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for TrainingDataResult