static void Main(string[] args)
{
string pathToData = "DATA";
string pathToResults = "wynik.txt";
bool runOneTime = true;
DirectoryInfo di = new DirectoryInfo(pathToData + "\\letterB");
using (var tw = new StreamWriter(pathToResults, true))
{
foreach (var csv in di.GetFiles("*.csv"))
{
IDataProvider dataProvider = new MockDataProvider();
Classifier <string> classifier = new Classifier <string>();
var sampleData = dataProvider.GetTrainingData(pathToData, csv.Name, ExcludeType.b) as List <InformationModel>;
classifier.Teach(sampleData);
List <List <string> > values = new List <List <string> >();
values.AddRange(File.ReadAllLines(csv.FullName)
.Skip(1)
.Select(FromCsv)
.ToList());
Dictionary <string, int> counter = new Dictionary <string, int>()
{
{ "m", 0 }, { "f", 0 }, { "b", 0 }
};
foreach (var list in values)
{
IDictionary <string, double> tempDict = classifier.Classify(list);
double min = 0;
string cat = "";
foreach (var item in tempDict)
{
if (min == 0 || min > item.Value)
{
min = item.Value;
cat = item.Key;
}
}
counter[cat]++;
}
foreach (var item in counter)
{
tw.Write("{1}; ", item.Key, item.Value);
}
tw.WriteLine();
if (runOneTime)
{
break;
}
}
}
}
public List <TestDataSet> Main()
{
IDataProvider dataProvider = new MockDataProvider();
List <GetTestData_Result> tempData = new List <GetTestData_Result>();
List <TestDataSet> testData = new List <TestDataSet>();
List <IDictionary <string, double> > dictionaries = new List <IDictionary <string, double> >();
using (FRDBEntities db = new FRDBEntities())
{
tempData = db.GetTestData().ToList <GetTestData_Result>();
}
Classifier <string> classifier = new Classifier <string>();
var sampleData = dataProvider.GetTrainingData() as List <InformationModel <string> >;
classifier.Teach(sampleData);
int temp = tempData.FirstOrDefault <GetTestData_Result>().UserID;
List <GetTestData_Result> list = new List <GetTestData_Result>();
int lenth = tempData.Count;
int count = 1;
foreach (var item in tempData)
{
if (temp == item.UserID)
{
IDictionary <string, double> dict = classifier.Classify(new List <string>()
{
item.skill, BinData(item.skill, item.skillrate), item.interest, BinData(item.interest, item.interestrate)
});
dictionaries.Add(dict);
if (count == lenth)
{
foreach (var d in add(dictionaries))
{
testData.Add(new TestDataSet {
uid = temp, major = d.Key, probabilty = d.Value
});
}
}
}
else
{
foreach (var d in add(dictionaries))
{
testData.Add(new TestDataSet {
uid = temp, major = d.Key, probabilty = d.Value
});
}
temp = item.UserID;
dictionaries.Clear();
IDictionary <string, double> dict = classifier.Classify(new List <string>()
{
item.skill, BinData(item.skill, item.skillrate), item.interest, BinData(item.interest, item.interestrate)
});
dictionaries.Add(dict);
}
count++;
}
return(testData);
}