Files
mdlp/sample/sample.cpp
2022-12-10 21:23:09 +01:00

55 lines
1.7 KiB
C++

#include "ArffFiles.h"
#include <iostream>
#include <vector>
#include <iomanip>
#include "../CPPFImdlp.h"
using namespace std;
int main(int argc, char** argv)
{
ArffFiles file;
vector<string> lines;
string path = "../../tests/datasets/";
map<string, bool > datasets = {
{"mfeat-factors", true},
{"iris", true},
{"letter", true},
{"kdd_JapaneseVowels", false}
};
if (argc != 2 || datasets.find(argv[1]) == datasets.end()) {
cout << "Usage: " << argv[0] << " {mfeat-factors, iris, letter, kdd_JapaneseVowels}" << endl;
return 1;
}
file.load(path + argv[1] + ".arff", datasets[argv[1]]);
auto attributes = file.getAttributes();
int items = file.getSize();
cout << "Number of lines: " << items << endl;
cout << "Attributes: " << endl;
for (auto attribute : attributes) {
cout << "Name: " << get<0>(attribute) << " Type: " << get<1>(attribute) << endl;
}
cout << "Class name: " << file.getClassName() << endl;
cout << "Class type: " << file.getClassType() << endl;
cout << "Data: " << endl;
vector<vector<float>>& X = file.getX();
vector<int>& y = file.getY();
for (int i = 0; i < 50; i++) {
for (auto feature : X) {
cout << fixed << setprecision(1) << feature[i] << " ";
}
cout << y[i] << endl;
}
mdlp::CPPFImdlp test = mdlp::CPPFImdlp(false);
for (auto i = 0; i < attributes.size(); i++) {
cout << "Cut points for " << get<0>(attributes[i]) << endl;
cout << "--------------------------" << setprecision(3) << endl;
test.fit(X[i], y);
for (auto item : test.getCutPoints()) {
cout << item << endl;
}
}
return 0;
}