Trait NeuromorphicAlgorithm 

pub trait NeuromorphicAlgorithm<T> {
    type Input;
    type Output;
    type Error;

    // Required methods
    fn fit(&mut self, data: &Self::Input) -> Result<Self::Output, Self::Error>;
    fn predict(&self, data: &Self::Input) -> Result<Self::Output, Self::Error>;
    fn parameters(&self) -> T;
    fn reset(&mut self);
}

Neuromorphic algorithm trait for unified interface

This trait provides a common interface for all neuromorphic algorithms, enabling interchangeable use and consistent API across different approaches.

Required Associated Types

type Input

Input data type

type Output

Output data type

type Error

Error type

Required Methods

fn fit(&mut self, data: &Self::Input) -> Result<Self::Output, Self::Error>

Fit the algorithm to spatial data

fn predict(&self, data: &Self::Input) -> Result<Self::Output, Self::Error>

Predict using the trained algorithm

fn parameters(&self) -> T

Get algorithm parameters

fn reset(&mut self)

Reset algorithm to initial state

Implementors