Struct revonet::ne::NEIndividual

pub struct NEIndividual { /* fields omitted */ }

Represents individual for neuroevolution. The main difference is that the NE individual also has a network field, which stores current neural network.

Trait Implementations

impl Clone for NEIndividual

fn clone(&self) -> NEIndividual

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for NEIndividual

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

Formats the value using the given formatter.

impl Individual for NEIndividual

fn new() -> NEIndividual

Creates a new individual with empty set of genes and NAN fitness.

fn init<R: Rng>(&mut self, size: usize, rng: &mut R)

Initializes an individual by allocating random vector of genes using Gaussian distribution.

fn get_fitness(&self) -> f32

Return current fitness value.

fn set_fitness(&mut self, fitness: f32)

Update fitness value.

fn to_vec(&self) -> Option<&[f32]>

Return vector of genes.

fn to_vec_mut(&mut self) -> Option<&mut Vec<f32>>

Return mutable vector of genes.

fn to_net(&mut self) -> Option<&MultilayeredNetwork>

Return MultilayeredNetwork object with weights assigned according to the genes' values.

fn to_net_mut(&mut self) -> Option<&mut MultilayeredNetwork>

Return mutable MultilayeredNetwork object with weights assigned according to the genes' values.

fn set_net(&mut self, net: MultilayeredNetwork)

Update individual's MultilayeredNetwork object and update genes according to the network weights.