#ifndef MLPP_KNN_H #define MLPP_KNN_H /*************************************************************************/ /* knn.h */ /*************************************************************************/ /* This file is part of: */ /* PMLPP Machine Learning Library */ /* https://github.com/Relintai/pmlpp */ /*************************************************************************/ /* Copyright (c) 2023-present Péter Magyar. */ /* Copyright (c) 2022-2023 Marc Melikyan */ /* */ /* Permission is hereby granted, free of charge, to any person obtaining */ /* a copy of this software and associated documentation files (the */ /* "Software"), to deal in the Software without restriction, including */ /* without limitation the rights to use, copy, modify, merge, publish, */ /* distribute, sublicense, and/or sell copies of the Software, and to */ /* permit persons to whom the Software is furnished to do so, subject to */ /* the following conditions: */ /* */ /* The above copyright notice and this permission notice shall be */ /* included in all copies or substantial portions of the Software. */ /* */ /* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, */ /* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF */ /* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.*/ /* IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY */ /* CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, */ /* TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE */ /* SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ /*************************************************************************/ #ifdef USING_SFW #include "sfw.h" #else #include "core/math/math_defs.h" #include "core/object/reference.h" #endif #include "../lin_alg/mlpp_matrix.h" #include "../lin_alg/mlpp_vector.h" class MLPPKNN : public Reference { GDCLASS(MLPPKNN, Reference); public: Ref get_input_set(); void set_input_set(const Ref &val); Ref get_output_set(); void set_output_set(const Ref &val); int get_k(); void set_k(const int val); PoolIntArray model_set_test(const Ref &X); int model_test(const Ref &x); real_t score(); MLPPKNN(); ~MLPPKNN(); protected: // Private Model Functions PoolIntArray nearest_neighbors(const Ref &x); int determine_class(const PoolIntArray &knn); static void _bind_methods(); // Model Inputs and Parameters Ref _input_set; Ref _output_set; int _k; }; #endif /* kNN_hpp */