Enum OptimizationMetric 

pub enum OptimizationMetric {
    F1,
    FBeta(f64),
    Precision,
    Recall,
    BalancedAccuracy,
    Cost {
        fp_cost: f64,
        fn_cost: f64,
    },
    Jaccard,
    Matthews,
}

Metric to optimize when tuning threshold

Variants

F1

Maximize F1 score

FBeta(f64)

Maximize F-beta score

Precision

Maximize precision

Recall

Maximize recall

BalancedAccuracy

Maximize balanced accuracy

Cost

Minimize cost (weighted FP/FN)

Fields

fp_cost: f64

Cost of false positive

fn_cost: f64

Cost of false negative

Jaccard

Maximize Jaccard score

Matthews

Maximize Matthews correlation coefficient

Implementations

impl OptimizationMetric

Helper functions for computing metrics

pub fn compute(&self, y_true: &[usize], y_pred: &[usize]) -> f64

Compute the metric value given predictions and true labels

Trait Implementations

impl Clone for OptimizationMetric

fn clone(&self) -> OptimizationMetric

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for OptimizationMetric

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for OptimizationMetric

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for OptimizationMetric

fn eq(&self, other: &OptimizationMetric) -> 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 Serialize for OptimizationMetric

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for OptimizationMetric

impl StructuralPartialEq for OptimizationMetric