Struct QdaModel 

pub struct QdaModel {
    pub classes: Vec<usize>,
    /* private fields */
}

Quadratic Discriminant Analysis: a separate covariance per class. The discriminant δ_c(x) = −½ ln|Σc| − ½ (x−μc)ᵀ Σc⁻¹ (x−μc) + ln π_c.

Fields

classes: Vec<usize>

Implementations

impl QdaModel

pub fn fit( x: &[f64], y: &[usize], n: usize, p: usize, ) -> Result<Self, LearningError>

Fit QDA. Needs each class to have > p samples for a non-singular covariance.

pub fn predict_row(&self, q: &[f64]) -> usize

pub fn predict(&self, x: &[f64], m: usize) -> Vec<usize>

Trait Implementations

impl Clone for QdaModel

fn clone(&self) -> QdaModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for QdaModel

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

Formats the value using the given formatter.