Enum opencv::ml::Boost_Types

#[repr(C)]
pub enum Boost_Types {
    DISCRETE,
    REAL,
    LOGIT,
    GENTLE,
}

Boosting type. Gentle AdaBoost and Real AdaBoost are often the preferable choices.

Variants

DISCRETE

Discrete AdaBoost.

REAL

Real AdaBoost. It is a technique that utilizes confidence-rated predictions and works well with categorical data.

LOGIT

LogitBoost. It can produce good regression fits.

GENTLE

Gentle AdaBoost. It puts less weight on outlier data points and for that reason is often good with regression data.

Trait Implementations

impl Clone for Boost_Types

fn clone(&self) -> Boost_Types

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for Boost_Types

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

Formats the value using the given formatter.

impl PartialEq<Boost_Types> for Boost_Types

fn eq(&self, other: &Boost_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 Boost_Types

impl Eq for Boost_Types

impl StructuralEq for Boost_Types

impl StructuralPartialEq for Boost_Types