Struct EvaluationMetrics 

#[non_exhaustive]
pub struct EvaluationMetrics {
    pub transform_type: TransformType,
    pub find_matches_metrics: Option<FindMatchesMetrics>,
}

Evaluation metrics provide an estimate of the quality of your machine learning transform.

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.

transform_type: TransformType

The type of machine learning transform.

find_matches_metrics: Option<FindMatchesMetrics>

The evaluation metrics for the find matches algorithm.

Implementations

impl EvaluationMetrics

pub fn transform_type(&self) -> &TransformType

The type of machine learning transform.

pub fn find_matches_metrics(&self) -> Option<&FindMatchesMetrics>

The evaluation metrics for the find matches algorithm.

impl EvaluationMetrics

pub fn builder() -> EvaluationMetricsBuilder

Creates a new builder-style object to manufacture EvaluationMetrics.

Trait Implementations

impl Clone for EvaluationMetrics

fn clone(&self) -> EvaluationMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for EvaluationMetrics

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

Formats the value using the given formatter.

impl PartialEq for EvaluationMetrics

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