#pragma once
/*
* Copyright (C) 2024 Brett Terpstra
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
#ifndef COSC_4P80_ASSIGNMENT_3_SOM_H
#define COSC_4P80_ASSIGNMENT_3_SOM_H
#include
#include
#include
namespace assign3
{
class som_t
{
public:
som_t(const data_file_t& file, blt::size_t width, blt::size_t height, blt::size_t max_epochs);
blt::size_t get_closest_neuron(const std::vector& data);
Scalar find_closest_neighbour_distance(blt::size_t v0);
void train_epoch(Scalar initial_learn_rate, topology_function_t* basis_func);
[[nodiscard]] const array_t& get_array() const
{ return array; }
[[nodiscard]] blt::size_t get_current_epoch() const
{ return current_epoch; }
[[nodiscard]] blt::size_t get_max_epochs() const
{ return max_epochs; }
private:
array_t array;
data_file_t file;
blt::size_t current_epoch = 0;
blt::size_t max_epochs;
};
}
#endif //COSC_4P80_ASSIGNMENT_3_SOM_H