Struct ClassifierMetrics 

pub struct ClassifierMetrics {
    pub accuracy: f32,
    pub per_class_precision: Vec<f32>,
    pub per_class_recall: Vec<f32>,
    pub per_class_f1: Vec<f32>,
    pub confusion_matrix: Vec<Vec<u32>>,
    pub samples_evaluated: u64,
}

Evaluation metrics for a classifier. Always populated by evaluate(); serialised into the model version’s metrics_json.

Fields

accuracy: f32

per_class_precision: Vec<f32>

per_class_recall: Vec<f32>

per_class_f1: Vec<f32>

confusion_matrix: Vec<Vec<u32>>

samples_evaluated: u64

Implementations

impl ClassifierMetrics

pub fn macro_f1(&self) -> f32

pub fn to_json(&self) -> String

Trait Implementations

impl Clone for ClassifierMetrics

fn clone(&self) -> ClassifierMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ClassifierMetrics

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

Formats the value using the given formatter.

impl PartialEq for ClassifierMetrics

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