Struct MeanAveragePrecision 

pub struct MeanAveragePrecision {
    pub num_recall_points: usize,
}

Mean Average Precision (mAP) metric for object detection and retrieval.

Computes the average precision (AP) for each class and returns the mean. This is a simplified version for multi-label classification scenarios.

For true object detection mAP with IoU thresholds, use specialized computer vision libraries.

Fields

num_recall_points: usize

Number of recall points to sample for AP calculation

Implementations

impl MeanAveragePrecision

pub fn new(num_recall_points: usize) -> Self

Create with custom number of recall points.

Trait Implementations

impl Clone for MeanAveragePrecision

fn clone(&self) -> MeanAveragePrecision

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for MeanAveragePrecision

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

Formats the value using the given formatter.

impl Default for MeanAveragePrecision

fn default() -> Self

Returns the “default value” for a type.

impl Metric for MeanAveragePrecision

fn compute( &self, predictions: &ArrayView<'_, f64, Ix2>, targets: &ArrayView<'_, f64, Ix2>, ) -> TrainResult<f64>

Compute metric value.

fn name(&self) -> &str

Get metric name.

fn reset(&mut self)

Reset metric state (for stateful metrics).