Struct CmaEsState 

pub struct CmaEsState<B: Backend> { /* private fields */ }

Generation state for CmaEs.

All adaptive quantities live here (not in CmaEsConfig) so instances stay lock-free across parallel runs. Linear-algebra state — the mean, covariance, and evolution paths — is held host-side as Vec<f32>; only the offspring population crosses to the device.

Implementations

impl<B: Backend> CmaEsState<B>

pub fn try_new( mean: Vec<f32>, cov: Vec<f32>, p_sigma: Vec<f32>, p_c: Vec<f32>, sigma: f32, generation: usize, best_genome: Option<Tensor<B, 2>>, best_fitness: f32, ) -> Result<Self, ConfigError>

Assembles a CMA-ES state, checking the distribution parameters are dimensionally consistent.

Errors

Returns a ConfigError if mean is empty, if cov is not D × D row-major (D = mean.len()), if p_sigma or p_c differs from D, or if sigma is not strictly positive and finite.

pub fn mean(&self) -> &[f32]

Distribution mean m, length D.

pub fn cov(&self) -> &[f32]

Covariance matrix C, row-major D × D.

pub fn p_sigma(&self) -> &[f32]

Conjugate evolution path p_σ, length D.

pub fn p_c(&self) -> &[f32]

Anisotropic evolution path p_c, length D.

pub fn sigma(&self) -> f32

Global step size σ.

pub fn generation(&self) -> usize

Completed-generation counter.

pub fn best_genome(&self) -> Option<&Tensor<B, 2>>

Best-so-far genome (shape (1, D)), or None before the first tell.

pub fn best_fitness(&self) -> f32

Best-so-far (canonical, maximise) fitness.

Trait Implementations

impl<B: Clone + Backend> Clone for CmaEsState<B>

fn clone(&self) -> CmaEsState<B>

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl<B: Debug + Backend> Debug for CmaEsState<B>

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

Formats the value using the given formatter.