opencv::mod_prelude

Trait SVMSGDTraitConst

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pub trait SVMSGDTraitConst: StatModelTraitConst {
    // Required method
    fn as_raw_SVMSGD(&self) -> *const c_void;

    // Provided methods
    fn get_svmsgd_type(&self) -> Result<i32> { ... }
    fn get_margin_type(&self) -> Result<i32> { ... }
    fn get_margin_regularization(&self) -> Result<f32> { ... }
    fn get_initial_step_size(&self) -> Result<f32> { ... }
    fn get_step_decreasing_power(&self) -> Result<f32> { ... }
    fn get_term_criteria(&self) -> Result<TermCriteria> { ... }
}
Expand description

Constant methods for crate::ml::SVMSGD

Required Methods§

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fn as_raw_SVMSGD(&self) -> *const c_void

Provided Methods§

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fn get_svmsgd_type(&self) -> Result<i32>

%Algorithm type, one of SVMSGD::SvmsgdType.

§See also

setSvmsgdType

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fn get_margin_type(&self) -> Result<i32>

%Margin type, one of SVMSGD::MarginType.

§See also

setMarginType

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fn get_margin_regularization(&self) -> Result<f32>

Parameter marginRegularization of a %SVMSGD optimization problem.

§See also

setMarginRegularization

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fn get_initial_step_size(&self) -> Result<f32>

Parameter initialStepSize of a %SVMSGD optimization problem.

§See also

setInitialStepSize

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fn get_step_decreasing_power(&self) -> Result<f32>

Parameter stepDecreasingPower of a %SVMSGD optimization problem.

§See also

setStepDecreasingPower

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fn get_term_criteria(&self) -> Result<TermCriteria>

Termination criteria of the training algorithm. You can specify the maximum number of iterations (maxCount) and/or how much the error could change between the iterations to make the algorithm continue (epsilon).

§See also

setTermCriteria

Dyn Compatibility§

This trait is not dyn compatible.

In older versions of Rust, dyn compatibility was called "object safety", so this trait is not object safe.

Implementors§