#ifndef MLPP_UNI_LIN_REG_H #define MLPP_UNI_LIN_REG_H /*************************************************************************/ /* uni_lin_reg.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. */ /*************************************************************************/ #include "core/math/math_defs.h" #include "core/object/resource.h" #include "../lin_alg/mlpp_matrix.h" #include "../lin_alg/mlpp_vector.h" class MLPPUniLinReg : public Resource { GDCLASS(MLPPUniLinReg, Resource); public: Ref get_input_set() const; void set_input_set(const Ref &val); Ref get_output_set() const; void set_output_set(const Ref &val); real_t get_b0() const; void set_b0(const real_t val); real_t get_b1() const; void set_b1(const real_t val); void train(); Ref model_set_test(const Ref &x); real_t model_test(real_t x); MLPPUniLinReg(const Ref &p_input_set, const Ref &p_output_set); MLPPUniLinReg(); ~MLPPUniLinReg(); protected: static void _bind_methods(); Ref _input_set; Ref _output_set; real_t _b0; real_t _b1; }; #endif /* UniLinReg_hpp */