Enum opencv::ml::EM_Types

#[repr(C)]pub enum EM_Types {
    COV_MAT_SPHERICAL,
    COV_MAT_DIAGONAL,
    COV_MAT_GENERIC,
}

Type of covariation matrices

Variants

COV_MAT_SPHERICAL

A scaled identity matrix . There is the only parameter to be estimated for each matrix. The option may be used in special cases, when the constraint is relevant, or as a first step in the optimization (for example in case when the data is preprocessed with PCA). The results of such preliminary estimation may be passed again to the optimization procedure, this time with covMatType=EM::COV_MAT_DIAGONAL.

COV_MAT_DIAGONAL

A diagonal matrix with positive diagonal elements. The number of free parameters is d for each matrix. This is most commonly used option yielding good estimation results.

COV_MAT_GENERIC

A symmetric positively defined matrix. The number of free parameters in each matrix is about . It is not recommended to use this option, unless there is pretty accurate initial estimation of the parameters and/or a huge number of training samples.

Trait Implementations

impl Clone for EM_Types

pub fn clone(&self) -> EM_Types

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Copy for EM_Types

impl Debug for EM_Types

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

Formats the value using the given formatter.

impl PartialEq<EM_Types> for EM_Types

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

This method tests for self and other values to be equal, and is used by ==.

#[must_use]pub fn ne(&self, other: &Rhs) -> bool

This method tests for !=.

impl StructuralPartialEq for EM_Types