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);
}
