Struct rusty_machine::learning::optim::fmincg::ConjugateGD

pub struct ConjugateGD {
    pub rho: f64,
    pub sig: f64,
    pub int: f64,
    pub ext: f64,
    pub max: usize,
    pub ratio: f64,
    pub iters: usize,
}

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Conjugate Gradient Descent algorithm

Fields

rho: f64

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Constant in the Wolfe-Powell conditions.

sig: f64

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Constant in the Wolfe-Powell conditions.

int: f64

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Don't reevaluate within int of the limit of the current bracket.

ext: f64

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Extrapolate max of ext times the current bracket.

max: usize

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Max of max function evaluations per line search

ratio: f64

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The maximum allowed slope ratio

iters: usize

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The default number of max iterations.

Trait Implementations

impl Debug for ConjugateGD

fn fmt(&self, __arg_0: &mut Formatter) -> Result[−]

Formats the value using the given formatter.

impl Copy for ConjugateGD

impl Clone for ConjugateGD

fn clone(&self) -> ConjugateGD[−]

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)[−]

Performs copy-assignment from source.

impl Default for ConjugateGD

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The default Conjugate GD algorithm.

The defaults are:

• rho = 0.01
• sig = 0.5
• int = 0.1
• ext = 3
• max = 20
• ration = 100
• iters = 100

fn default() -> ConjugateGD[−]

Returns the "default value" for a type.

impl<M: Optimizable> OptimAlgorithm<M> for ConjugateGD

fn optimize(&self, model: &M, start: &[f64], inputs: &M::Inputs, targets: &M::Targets) -> Vec<f64>[−]

Return the optimized parameter using gradient optimization.