Struct GaussianMixtureFit 

pub struct GaussianMixtureFit { /* private fields */ }

A fitted k-component full-covariance Gaussian mixture.

Implementations

impl GaussianMixtureFit

pub fn weights(&self) -> ArrayView1<'_, f64>

pub fn means(&self) -> ArrayView2<'_, f64>

pub fn covariances(&self) -> &[Array2<f64>]

pub fn iterations(&self) -> usize

pub fn certificate(&self) -> GaussianMixtureCertificate

pub fn num_free_parameters(&self) -> usize

Free-parameter count P of a k-component full-covariance mixture in d dimensions: (k − 1) mixing weights on the simplex, k·d mean coordinates, and k · d(d+1)/2 covariance entries. This is the exact quantity that enters the rank-aware normalizer as dim(H) − rank(S).

pub fn per_point_log_density( &self, data: ArrayView2<'_, f64>, ) -> Result<Array1<f64>, String>

Per-observation log predictive density log p(y_i) under the fitted mixture, length n. This is the held-out-density column source for cross-class stacking when the mixture is evaluated on a held-out fold.

pub fn bic(&self) -> f64

Schwarz BIC approximation to negative log evidence, divided by two so it shares the ordinary negative-log-likelihood scale used by the shape race. Lower is better.

Trait Implementations

impl Clone for GaussianMixtureFit

fn clone(&self) -> GaussianMixtureFit

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GaussianMixtureFit

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

Formats the value using the given formatter.