105 lines
3.1 KiB
C++
105 lines
3.1 KiB
C++
#pragma once
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/*
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* Copyright (C) 2024 Brett Terpstra
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*
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* This program is free software: you can redistribute it and/or modify
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* it under the terms of the GNU General Public License as published by
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* the Free Software Foundation, either version 3 of the License, or
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* (at your option) any later version.
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*
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* This program is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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* GNU General Public License for more details.
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*
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* You should have received a copy of the GNU General Public License
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* along with this program. If not, see <https://www.gnu.org/licenses/>.
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*/
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#ifndef COSC_4P80_ASSIGNMENT_3_SOM_H
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#define COSC_4P80_ASSIGNMENT_3_SOM_H
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#include <assign3/array.h>
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#include <assign3/file.h>
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#include <assign3/functions.h>
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namespace assign3
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{
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class som_t
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{
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public:
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som_t(const data_file_t& file, blt::size_t width, blt::size_t height, blt::size_t max_epochs, distance_function_t* dist_func,
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topology_function_t* topology_function, shape_t shape, init_t init, bool normalize);
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som_t(const som_t&) = delete;
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som_t& operator=(const som_t&) = delete;
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som_t(som_t&&) = default;
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som_t& operator=(som_t&&) = default;
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blt::size_t get_closest_neuron(const std::vector<Scalar>& data);
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Scalar find_closest_neighbour_distance(blt::size_t v0);
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Scalar train_epoch(Scalar initial_learn_rate, Scalar user_scale = 1);
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blt::vec2 get_topological_position(const std::vector<Scalar>& data);
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Scalar topological_error();
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Scalar quantization_error();
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Scalar compute_errors(Scalar user_scale = 1);
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Scalar compute_neuron_activations(Scalar user_scale = 1, Scalar distance = 2, Scalar activation = 0.5);
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void write_activations(std::ostream& out);
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void write_topology_errors(std::ostream& out);
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void write_quantization_errors(std::ostream& out);
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void write_all_errors(std::ostream& out);
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[[nodiscard]] const array_t& get_array() const
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{
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return array;
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}
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[[nodiscard]] blt::size_t get_current_epoch() const
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{
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return current_epoch;
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}
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[[nodiscard]] blt::size_t get_max_epochs() const
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{
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return max_epochs;
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}
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[[nodiscard]] const std::vector<Scalar>& get_topological_errors() const
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{
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return topological_errors;
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}
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[[nodiscard]] const std::vector<Scalar>& get_quantization_errors() const
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{
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return quantization_errors;
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}
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private:
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array_t array;
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data_file_t file;
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blt::size_t current_epoch = 0;
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blt::size_t max_epochs;
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distance_function_t* dist_func;
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topology_function_t* topology_function;
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// normalized value for which below this will be considered neural
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float quantization_distance = 0.25;
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std::vector<Scalar> topological_errors;
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std::vector<Scalar> quantization_errors;
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};
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}
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#endif //COSC_4P80_ASSIGNMENT_3_SOM_H
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