Enum CovarianceType 

pub enum CovarianceType {
    Full,
    Tied,
    Diag,
    Spherical,
}

Covariance matrix types for Gaussian Mixture Models.

Variants

Full

Full covariance matrix (most flexible, most parameters).

Tied

Tied covariance (all components share same covariance).

Diag

Diagonal covariance (assumes feature independence).

Spherical

Spherical covariance (isotropic, like K-Means).

Trait Implementations

impl Clone for CovarianceType

fn clone(&self) -> CovarianceType

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CovarianceType

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for CovarianceType

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for CovarianceType

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for CovarianceType

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl Copy for CovarianceType

impl Eq for CovarianceType

impl StructuralPartialEq for CovarianceType