Struct GmmModel 

pub struct GmmModel {
    pub weights: Vec<f64>,
    pub means: Vec<Vec<f64>>,
    pub covariances: Vec<GaussianCovariance>,
}

Inspectable fitted Gaussian-mixture parameters.

Fields

weights: Vec<f64>

Normalized component weights.

means: Vec<Vec<f64>>

Component means in lexicographic order.

covariances: Vec<GaussianCovariance>

Covariance parameters aligned with Self::means.

Implementations

impl GmmModel

pub fn responsibilities( &self, points: &[Vec<f64>], ) -> Result<Vec<Vec<f64>>, ClusteringError>

Returns posterior component probabilities for every supplied point.

pub fn log_likelihood( &self, points: &[Vec<f64>], ) -> Result<f64, ClusteringError>

Returns the summed natural-log likelihood of supplied points.

pub fn predict( &self, points: &[Vec<f64>], ) -> Result<Vec<usize>, ClusteringError>

Returns the maximum-posterior component index for every point.

Trait Implementations

impl Clone for GmmModel

fn clone(&self) -> GmmModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GmmModel

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

Formats the value using the given formatter.

impl PartialEq for GmmModel

fn eq(&self, other: &GmmModel) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for GmmModel