Crate cerebral 

Naming convenctions

• traits: Start with capital letter and are adjectives
• structs: Start with capital letter and are substantives

use som_rs::default::*;
use som_rs::{NeuralLayer, Neurons, SelfOrganizing};

fn main() {
    println!("Hello, SOM!");

    let seed = 42;

    let mut rng = Isaac64Rng::seed_from_u64(seed);

    let mut som = NeuralLayer {
        neurons: Neurons {
            // lateral: Array2::<f64>::zeros((0,0)),
            patterns: Array::random_using((100, 3), Uniform::new(0., 10.), &mut rng),
            ..Default::default()
        },
        adaptivity: KohonenAdaptivity {},
        topology: CartesianTopology::new((10, 10)),
        responsiveness: CartesianResponsiveness {},
        training: BatchTraining {
            radii: (2.0, 0.2),
            rates: (0.7, 0.1),
            epochs: 1,
        },
    };

    println!("{}", som.neurons.lateral);

    som.init_lateral();
    let training = Array::random_using((5000, 2), Uniform::new(0., 9.), &mut rng);
    som.train(&training);
    som.adapt(&training.row(0), 0.7, 0.7);
}

Re-exports

pub use selforganizing::SelforganizingNetwork;

pub use selforganizing::Selforganizing;

pub use selforganizing::BoxedSelforganizing;

pub use neural::Neural;

pub use neural::NeuralLayer;

pub use adaptable::Adaptable;

pub use adaptable::BoxedAdaptable;

pub use responsive::BoxedResponsive;

pub use responsive::Responsive;

pub use topological::BoxedTopological;

pub use topological::Topological;

pub use trainable::BoxedTrainable;

pub use trainable::Trainable;

Modules

adaptable

default

nd_tools

This module defines extensions to the ndarray crate. General functions are defined in the top-level

neural

responsive

selforganizing

topological

trainable