public void GradAscentTest()
{
string file = @"C:\db\testset.txt";
var lines = File.ReadAllLines(file);
double[,] dataMat = new double[lines.Length, 3];
double[,] labelMat = new double[lines.Length, 1];
for (int i = 0; i < lines.Length; i++)
{
var temp = lines[i].Split(new char[] { ' ', '\t', '\r', '\n' }, StringSplitOptions.RemoveEmptyEntries);
dataMat[i, 0] = 1.0;
dataMat[i, 1] = double.Parse(temp[0]);
dataMat[i, 2] = double.Parse(temp[1]);
labelMat[i, 0] = double.Parse(temp[2]);
}
var result = LogisticRegression.GradAscent(dataMat, labelMat);
Console.WriteLine(result);
}
