Struct ConvergenceAnalyzer 

pub struct ConvergenceAnalyzer {
    pub max_components: usize,
    pub component_steps: Vec<usize>,
    pub n_trials: usize,
    pub convergence_tolerance: f64,
    pub reference_method: ReferenceMethod,
}

Convergence rate analysis for kernel approximation methods ConvergenceAnalyzer

Fields

max_components: usize

max_components

component_steps: Vec<usize>

component_steps

n_trials: usize

n_trials

convergence_tolerance: f64

convergence_tolerance

reference_method: ReferenceMethod

reference_method

Implementations

impl ConvergenceAnalyzer

pub fn new(max_components: usize) -> Self

pub fn component_steps(self, steps: Vec<usize>) -> Self

pub fn n_trials(self, n_trials: usize) -> Self

pub fn convergence_tolerance(self, tolerance: f64) -> Self

pub fn reference_method(self, method: ReferenceMethod) -> Self

pub fn analyze_rbf_convergence( &self, x: &Array2<f64>, gamma: f64, ) -> Result<ConvergenceResult>

Trait Implementations

impl Clone for ConvergenceAnalyzer

fn clone(&self) -> ConvergenceAnalyzer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ConvergenceAnalyzer

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for ConvergenceAnalyzer

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for ConvergenceAnalyzer

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.