Struct aws_sdk_lookoutvision::types::ModelPerformance

#[non_exhaustive]
pub struct ModelPerformance {
    pub f1_score: Option<f32>,
    pub recall: Option<f32>,
    pub precision: Option<f32>,
}

Information about the evaluation performance of a trained model.

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.

f1_score: Option<f32>

The overall F1 score metric for the trained model.

recall: Option<f32>

The overall recall metric value for the trained model.

precision: Option<f32>

The overall precision metric value for the trained model.

Implementations

impl ModelPerformance

pub fn f1_score(&self) -> Option<f32>

The overall F1 score metric for the trained model.

pub fn recall(&self) -> Option<f32>

The overall recall metric value for the trained model.

pub fn precision(&self) -> Option<f32>

The overall precision metric value for the trained model.

impl ModelPerformance

pub fn builder() -> ModelPerformanceBuilder

Creates a new builder-style object to manufacture ModelPerformance.

Trait Implementations

impl Clone for ModelPerformance

fn clone(&self) -> ModelPerformance

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ModelPerformance

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

Formats the value using the given formatter.

impl PartialEq for ModelPerformance

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

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

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 ModelPerformance