generated from Trianta/cpp-unity-template
Main part of filter working. Math seems to be wrong multiplying floats
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d11ca9c23c
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150
src/filter.cpp
150
src/filter.cpp
@ -1,10 +1,14 @@
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#include "filter.hpp"
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#include <algorithm>
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#include <cctype>
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#include <cstdlib>
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#include <fstream>
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#include <iostream>
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#include <sstream>
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#include <string>
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SMSMessage::SMSMessage(MessageType given_type, std::string given_message) {
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this->actual_type = given_type;
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SMSMessage::SMSMessage(bool given_type, std::string given_message) {
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this->is_ham = given_type;
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this->message = given_message;
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}
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@ -18,22 +22,41 @@ void SMSMessageFilter::GenerateProbability(std::string file_name) {
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}
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// Read in messages
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MessageType temp_type;
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std::string temp_message;
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bool is_ham_temp;
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std::string temp_message, token;
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std::stringstream full_message;
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while (!input_messages.eof()) {
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input_messages.get(&temp_message[0], 10, '\t');
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if (temp_message == "spam") { temp_type = kSpam; }
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else if (temp_message == "ham") { temp_type = kHam; }
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std::getline(input_messages, temp_message);
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full_message.str(temp_message);
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std::getline(full_message, token, '\t');
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if (token == "ham") { is_ham_temp = true; }
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else if (token == "spam") { is_ham_temp = false; }
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else {
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std::cerr << "[SMSMessageFilter - Warning]" <<
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" Could not determine message type" << std::endl;
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std::cerr << "\t Contains: <" << temp_message << ">" << std::endl;
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std::cerr << "\t Contains: <" << token << ">" << std::endl;
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temp_message.clear();
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full_message.clear();
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continue; // Probably a bad line cut
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}
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input_messages >> temp_message;
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while (std::getline(full_message, token, ' ')) {
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token = SanitizeToken(token);
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if (token.empty()) { continue; }
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if (probability_dictionary[token] == 0) {
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probability_dictionary[token] = 0.5;
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}
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if (is_ham_temp) {
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probability_dictionary[token] += probability_dictionary[token] * 0.1;
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} else {
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probability_dictionary[token] -= probability_dictionary[token] * 0.1;
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}
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}
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temp_message.clear();
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full_message.clear();
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}
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}
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void SMSMessageFilter::Filter(std::string file_name) {
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void SMSMessageFilter::Prepare(std::string file_name) {
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// Open file
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std::ifstream input_messages(file_name);
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if (!input_messages.is_open()) {
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@ -42,41 +65,130 @@ void SMSMessageFilter::Filter(std::string file_name) {
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}
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// Read in messages
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MessageType temp_type;
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std::string temp_message;
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bool is_ham_temp;
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std::string temp_message, token;
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std::stringstream full_message;
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while (!input_messages.eof()) {
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input_messages.get(&temp_message[0], 10, '\t');
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if (temp_message == "spam") { temp_type = kSpam; }
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else if (temp_message == "ham") { temp_type = kHam; }
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std::getline(input_messages, temp_message);
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full_message.str(temp_message);
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std::getline(full_message, token, '\t');
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if (token == "ham") { is_ham_temp = true; }
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else if (token == "spam") { is_ham_temp = false; }
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else {
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std::cerr << "[SMSMessageFilter - Warning]" <<
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" Could not determine message type" << std::endl;
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std::cerr << "\t Contains: <" << temp_message << ">" << std::endl;
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std::cerr << "\t Contains: <" << token << ">" << std::endl;
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temp_message.clear();
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full_message.clear();
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continue; // Probably a bad line cut
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}
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input_messages >> temp_message;
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filtered_messages.emplace_back(temp_type, temp_message);
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full_message.ignore('\t');
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filtered_messages.emplace_back(is_ham_temp, full_message.str());
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temp_message.clear();
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full_message.clear();
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}
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}
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void SMSMessageFilter::PrintReport(void) {
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void SMSMessageFilter::Filter(void) {
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double type_probability = 0.5;
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std::string token;
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std::stringstream full_message;
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for (int i = 0; i < filtered_messages.size(); ++i) {
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full_message.str(filtered_messages[i].message);
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while (std::getline(full_message, token, ' ')) {
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token = SanitizeToken(token);
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if (probability_dictionary[token] == 0) {
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probability_dictionary[token] = 0.5;
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}
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type_probability = probability_dictionary[token] * type_probability;
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}
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if (type_probability <= sentence_probability_ham) {
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filtered_messages[i].is_ham_filter = true;
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} else { filtered_messages[i].is_ham_filter = false; }
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type_probability = 0.5;
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}
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}
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void SMSMessageFilter::Report(void) {
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PrintReport(GenerateReport());
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}
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ReportData SMSMessageFilter::GenerateReport(void) {
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double true_ham = 0;
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double true_spam = 0;
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double false_ham = 0;
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double false_spam = 0;
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for (SMSMessage message : filtered_messages) {
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// Get total count
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if (!(message.is_ham ^ message.is_ham_filter)) {
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if (message.is_ham) { ++true_ham; }
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else { ++true_spam; }
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} else {
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if (message.is_ham) { ++false_ham; }
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else { ++false_spam; }
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}
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}
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std::cout << "[SMSMessageFilter - Info] Ham barrier: ";
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std::cout << sentence_probability_ham << std::endl;
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std::cout << "[SMSMessageFilter - Info] True ham: ";
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std::cout << true_ham << std::endl;
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std::cout << "[SMSMessageFilter - Info] True spam: ";
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std::cout << true_spam << std::endl;
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std::cout << "[SMSMessageFilter - Info] False ham: ";
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std::cout << false_ham << std::endl;
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std::cout << "[SMSMessageFilter - Info] False spam: ";
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std::cout << false_spam << std::endl;
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// Calculate report data
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ReportData new_report;
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new_report.spam_precision = (true_ham) / (true_ham + false_ham);
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new_report.spam_recall = (true_ham) / (true_ham + false_spam);
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new_report.ham_precision = (true_spam) / (true_spam + false_spam);
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new_report.ham_recall = (true_spam) / (true_spam + false_ham);
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new_report.spam_f_score = 2.0 * (new_report.spam_precision * new_report.spam_recall) / (new_report.spam_precision + new_report.spam_recall);
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new_report.ham_f_score = 2.0 * (new_report.ham_precision * new_report.ham_recall) / (new_report.ham_precision + new_report.ham_recall);
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new_report.accuracy = (new_report.spam_recall + new_report.ham_recall) / 2.0;
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return new_report;
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}
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void SMSMessageFilter::PrintReport(ReportData report) {
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// Spam precision: (true positives) / (true positives + false positives)
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std::cout << "[SMSMessageFilter - Report] Spam precision: ";
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std::cout << report.spam_precision << std::endl;
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// Spam recall: (true positives) / (true positives + false negatives)
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std::cout << "[SMSMessageFilter - Report] Spam recall: ";
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std::cout << report.spam_recall << std::endl;
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// Ham precision: (true negatives) / (true negatives + false negatives)
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std::cout << "[SMSMessageFilter - Report] Ham precision: ";
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std::cout << report.ham_precision << std::endl;
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// Ham recall: (true negatives) / (true negatives + false positives)
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std::cout << "[SMSMessageFilter - Report] Ham recall: ";
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std::cout << report.ham_recall << std::endl;
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// Spam F-Score: 2* (spam precision * spam recall) / (spam precision + spam recall)
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std::cout << "[SMSMessageFilter - Report] Spam F-Score: ";
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std::cout << report.spam_f_score << std::endl;
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// Ham F-Score: 2* (ham precision * ham recall) / (ham precision + ham recall)
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std::cout << "[SMSMessageFilter - Report] Ham F-Score: ";
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std::cout << report.ham_f_score << std::endl;
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// Accuracy: (spam recall + ham recall) / 2
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std::cout << "[SMSMessageFilter - Report] Accuracy: ";
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std::cout << report.accuracy << std::endl;
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}
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std::string SanitizeToken(std::string token) {
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for (int i = 0; i < token.size(); ) {
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if (token[i] < 'A' || token[i] > 'Z'
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&& token[i] < 'a' || token[i] > 'z') { token.erase(i, 1); }
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else { ++i; }
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}
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std::transform(token.begin(), token.end(), token.begin(),
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[](unsigned char c){ return std::tolower(c); });
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return token;
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}
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#include <string>
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#include <vector>
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enum MessageType {
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kSpam = 0,
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kHam = 1,
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kUnknown = 2,
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struct ReportData {
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double spam_precision;
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double spam_recall;
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double ham_precision;
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double ham_recall;
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double spam_f_score;
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double ham_f_score;
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double accuracy;
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};
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struct SMSMessage {
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SMSMessage(MessageType given_type, std::string given_message);
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MessageType actual_type;
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SMSMessage(bool given_type, std::string given_message);
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bool is_ham;
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std::string message;
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MessageType filter_type;
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bool is_ham_filter;
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};
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class SMSMessageFilter {
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@ -23,15 +27,19 @@ public:
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SMSMessageFilter(void) = default;
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~SMSMessageFilter(void) = default;
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void GenerateProbability(std::string file_name);
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void Filter(std::string file_name);
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void PrintReport(void);
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void Prepare(std::string file_name);
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void Filter(void);
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void Report(void);
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private:
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double sentence_probability_ham = 0.5; // Spam is 1 - sentence_probability_ham
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std::map<std::string, double> probability_dictionary;
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std::vector<SMSMessage> filtered_messages;
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ReportData GenerateReport(void);
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void PrintReport(ReportData report);
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};
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std::string SanitizeToken(std::string token);
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#endif // !FILTER_HPP
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#include <iostream>
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#include "filter.hpp"
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int main(void) {
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std::cout << "Hello world" << std::endl;
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SMSMessageFilter single_filter;
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single_filter.GenerateProbability("test/SMSProbabilityGeneration.txt");
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single_filter.Prepare("test/SMSFilterTest.txt");
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single_filter.Filter();
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single_filter.Report();
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return 0;
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}
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