Struct StreamingClassificationMetrics 

pub struct StreamingClassificationMetrics { /* private fields */ }

Streaming classification metrics with incremental computation

Implementations

impl StreamingClassificationMetrics

pub fn new() -> Self

Creates a new streaming classification metrics calculator

pub fn update(&mut self, true_label: i32, predlabel: i32)

Updates metrics with a new prediction (binary classification)

pub fn update_batch( &mut self, true_labels: &[i32], predlabels: &[i32], ) -> Result<()>

Updates metrics with multiple predictions at once

pub fn accuracy(&self) -> f64

Computes current accuracy

pub fn precision(&self) -> f64

Computes current precision

pub fn recall(&self) -> f64

Computes current recall (sensitivity)

pub fn f1_score(&self) -> f64

Computes current F1 score

pub fn specificity(&self) -> f64

Computes current specificity

pub fn sample_count(&self) -> usize

Gets the total number of samples processed

pub fn confusion_matrix(&self) -> (usize, usize, usize, usize)

Gets the confusion matrix components

pub fn reset(&mut self)

Resets all metrics to start a new evaluation period

Trait Implementations

impl Clone for StreamingClassificationMetrics

fn clone(&self) -> StreamingClassificationMetrics

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for StreamingClassificationMetrics

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

Formats the value using the given formatter.

impl Default for StreamingClassificationMetrics

fn default() -> Self

Returns the “default value” for a type.