[−][src]Trait opencv::ml::prelude::ParamGridTrait

pub trait ParamGridTrait {
    fn as_raw_ParamGrid(&self) -> *const c_void;

    fn as_raw_mut_ParamGrid(&mut self) -> *mut c_void;

    fn min_val(&self) -> f64 { ... }

    fn set_min_val(&mut self, val: f64) { ... }

    fn max_val(&self) -> f64 { ... }

    fn set_max_val(&mut self, val: f64) { ... }

    fn log_step(&self) -> f64 { ... }

    fn set_log_step(&mut self, val: f64) { ... }
}

The structure represents the logarithmic grid range of statmodel parameters.

It is used for optimizing statmodel accuracy by varying model parameters, the accuracy estimate being computed by cross-validation.

Required methods

fn as_raw_ParamGrid(&self) -> *const c_void

fn as_raw_mut_ParamGrid(&mut self) -> *mut c_void

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Provided methods

fn min_val(&self) -> f64

Minimum value of the statmodel parameter. Default value is 0.

fn set_min_val(&mut self, val: f64)

Minimum value of the statmodel parameter. Default value is 0.

fn max_val(&self) -> f64

Maximum value of the statmodel parameter. Default value is 0.

fn set_max_val(&mut self, val: f64)

Maximum value of the statmodel parameter. Default value is 0.

fn log_step(&self) -> f64

Logarithmic step for iterating the statmodel parameter.

The grid determines the following iteration sequence of the statmodel parameter values: block formula where inline formula is the maximal index satisfying block formula The grid is logarithmic, so logStep must always be greater than 1. Default value is 1.

fn set_log_step(&mut self, val: f64)

Logarithmic step for iterating the statmodel parameter.

The grid determines the following iteration sequence of the statmodel parameter values: block formula where inline formula is the maximal index satisfying block formula The grid is logarithmic, so logStep must always be greater than 1. Default value is 1.

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Implementors

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