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perceptron.cpp
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perceptron.cpp
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//
// perceptron.cpp
// VoterMLA
//
// Created by MD Shihabul Kabir on 12/3/16.
// Copyright © 2016 MD Shihabul Kabir. All rights reserved.
//
#include <stdio.h>
#include "county.h"
#include "perceptron.h"
#include "math.h"
using namespace std;
using namespace CountyStruct;
//Perceptron Namespace
namespace PerceptronAlgo {
//constructor
Perceptron::Perceptron(vector<County>&train,float rate){
//initialize members
learningRate = rate;
for(int i = 0; i < TOTAL_ATTR; ++i){
//set weights as 1 to begin
weights.push_back(1);
}
trainingSet = train;
}
//method to train perceptron
void Perceptron::train(){
//go through training set
for(County c : trainingSet){
float value = 0.0;
//go through each attribute
for(int i = POPULATION; i < TOTAL_ATTR; ++i){
value += weights[i]*c.member(i);
}
//calculate the error
float error = c.member(0) - value;
//update the weights
for(int i = POPULATION; i < TOTAL_ATTR; ++i){
weights[i] = weights[i]+(learningRate*error*c.member(i));
}
}
//update the learning rate
updateLearningRate();
}
//method to predict whether a county voted a democrat or republican
int Perceptron::predict(County &aCounty){
float value = 0.0;
//go through each attribute and get the value
for(int i = POPULATION; i < TOTAL_ATTR; ++i){
value += weights[i]*aCounty.member(i);
}
//round and return
return round(value);
}
//method to lower the learning rate after going through the data set once
void Perceptron::updateLearningRate(){
//make learning rate 1/10 the previous
learningRate /= 10;
}
}