Struct MultiConfidenceMetrics 

#[non_exhaustive]
pub struct MultiConfidenceMetrics {
    pub confidence_level_metrics: Vec<ConfidenceLevelMetrics>,
    pub confidence_level_metrics_exact: Vec<ConfidenceLevelMetrics>,
    pub auprc: f32,
    pub estimated_calibration_error: f32,
    pub auprc_exact: f32,
    pub estimated_calibration_error_exact: f32,
    pub metrics_type: MetricsType,
    /* private fields */
}

Metrics across multiple confidence levels.

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.

confidence_level_metrics: Vec<ConfidenceLevelMetrics>

Metrics across confidence levels with fuzzy matching enabled.

confidence_level_metrics_exact: Vec<ConfidenceLevelMetrics>

Metrics across confidence levels with only exact matching.

auprc: f32

The calculated area under the precision recall curve (AUPRC), computed by integrating over all confidence thresholds.

estimated_calibration_error: f32

The Estimated Calibration Error (ECE) of the confidence of the predicted entities.

auprc_exact: f32

The AUPRC for metrics with fuzzy matching disabled, i.e., exact matching only.

estimated_calibration_error_exact: f32

The ECE for the predicted entities with fuzzy matching disabled, i.e., exact matching only.

metrics_type: MetricsType

The metrics type for the label.

Implementations

impl MultiConfidenceMetrics

pub fn new() -> Self

pub fn set_confidence_level_metrics<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<ConfidenceLevelMetrics>,

Sets the value of confidence_level_metrics.

pub fn set_confidence_level_metrics_exact<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<ConfidenceLevelMetrics>,

Sets the value of confidence_level_metrics_exact.

pub fn set_auprc<T: Into<f32>>(self, v: T) -> Self

Sets the value of auprc.

pub fn set_estimated_calibration_error<T: Into<f32>>(self, v: T) -> Self

Sets the value of estimated_calibration_error.

pub fn set_auprc_exact<T: Into<f32>>(self, v: T) -> Self

Sets the value of auprc_exact.

pub fn set_estimated_calibration_error_exact<T: Into<f32>>(self, v: T) -> Self

Sets the value of estimated_calibration_error_exact.

pub fn set_metrics_type<T: Into<MetricsType>>(self, v: T) -> Self

Sets the value of metrics_type.

Trait Implementations

impl Clone for MultiConfidenceMetrics

fn clone(&self) -> MultiConfidenceMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MultiConfidenceMetrics

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

Formats the value using the given formatter.

impl Default for MultiConfidenceMetrics

fn default() -> MultiConfidenceMetrics

Returns the “default value” for a type.

impl Message for MultiConfidenceMetrics

fn typename() -> &'static str

The typename of this message.

impl PartialEq for MultiConfidenceMetrics

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