DualRegressor.hpp

//
// Created by mateus558 on 06/03/2020.
//
 
#pragma once
 
#include "Regressor.hpp"
 
namespace mltk{
        namespace regressor {
            template < typename T >
            class DualRegressor: public Regressor < T > {
                // Attributes
            protected :
                std::vector<double> alpha;
                Kernel<T> *kernel = nullptr;
            public:
 
                double evaluate(const Point< T >  &p, bool raw_value=false) override {
                    double func = 0.0;
                    size_t i, dim = this->solution.w.size();
 
                    if(p.x.size() != dim){
                        std::cerr << "The point must have the same dimension of the feature set!" << std::endl;
                        return 0;
                    }
 
                    for(func = this->solution.bias, i = 0; i < dim; i++){
                        func += this->solution.w[i] * p[i];
                    }
 
                    return func;
                }
 
                /*********************************************
                 *               Getters                     *
                 *********************************************/
 
                std::string getFormulationString() override { return "Dual"; }
 
                /*********************************************
                 *               Setters                     *
                 *********************************************/
 
            };
        }
}