Enum opencv::ml::SVM_Types

#[repr(C)]
pub enum SVM_Types {
    C_SVC = 100,
    NU_SVC = 101,
    ONE_CLASS = 102,
    EPS_SVR = 103,
    NU_SVR = 104,
}

%SVM type

Variants

C_SVC = 100

C-Support Vector Classification. n-class classification (n 2), allows imperfect separation of classes with penalty multiplier C for outliers.

NU_SVC = 101

-Support Vector Classification. n-class classification with possible imperfect separation. Parameter (in the range 0..1, the larger the value, the smoother the decision boundary) is used instead of C.

ONE_CLASS = 102

Distribution Estimation (One-class %SVM). All the training data are from the same class, %SVM builds a boundary that separates the class from the rest of the feature space.

EPS_SVR = 103

-Support Vector Regression. The distance between feature vectors from the training set and the fitting hyper-plane must be less than p. For outliers the penalty multiplier C is used.

NU_SVR = 104

-Support Vector Regression. is used instead of p. See LibSVM for details.

Trait Implementations

impl Clone for SVM_Types

fn clone(&self) -> SVM_Types

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for SVM_Types

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

Formats the value using the given formatter.

impl From<SVM_Types> for i32

fn from(v: SVM_Types) -> Self

Converts to this type from the input type.

impl PartialEq for SVM_Types

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

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

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

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

impl Copy for SVM_Types

impl Eq for SVM_Types

impl StructuralPartialEq for SVM_Types