public ListDataSet ReadFile(string path, ClassificationClass cc)
{
path = path.TrimEnd('\\').TrimEnd('/') + "\\";
DirectoryInfo dirInfo = new DirectoryInfo(path);
FileInfo[] fileInfo = dirInfo.GetFiles("*.txt");
ListDataSet dataSetList = new ListDataSet();
foreach (FileInfo fi in fileInfo)
{
string className = fi.Name.Split('.')[0];
cc.Add(className);
StreamReader reader = new StreamReader(path + fi.Name);
List <float> attr = new List <float>();
while (!reader.EndOfStream)
{
attr.Add(float.Parse(reader.ReadLine()));
}
DataSet ds = new DataSet(attr.Count);
ds.ClassName = className;
for (int i = 0; i < attr.Count; i++)
{
ds[i] = attr[i];
}
dataSetList.Add(ds);
}
return(dataSetList);
}
public void Initialise(NeuralNetwork nn, ListDataSet dsl, ClassificationClass cc)
{
feedForward = new FeedForward();
feedForward.Initialise(nn, dsl);
classificationClass = cc;
}
public void Initialize(ListDataSet lds, ClassificationClass cc)
{
listDataSet = lds;
classificationClass = cc;
}