Struct rusoto_comprehend::EntityRecognizerEvaluationMetrics

pub struct EntityRecognizerEvaluationMetrics {
    pub f1_score: Option<f64>,
    pub precision: Option<f64>,
    pub recall: Option<f64>,
}

Detailed information about the accuracy of an entity recognizer.

Fields

f1_score: Option<f64>

A measure of how accurate the recognizer results are for the test data. It is derived from the Precision and Recall values. The F1Score is the harmonic average of the two scores. The highest score is 1, and the worst score is 0.

precision: Option<f64>

A measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones.

recall: Option<f64>

A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

Trait Implementations

impl PartialEq<EntityRecognizerEvaluationMetrics> for EntityRecognizerEvaluationMetrics

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

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

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

This method tests for !=.

impl Default for EntityRecognizerEvaluationMetrics

fn default() -> EntityRecognizerEvaluationMetrics

Returns the "default value" for a type.

impl Clone for EntityRecognizerEvaluationMetrics

fn clone(&self) -> EntityRecognizerEvaluationMetrics

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for EntityRecognizerEvaluationMetrics

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for EntityRecognizerEvaluationMetrics

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

Deserialize this value from the given Serde deserializer.