public void Run(ISupervisedAlgorithm <double[]> algorithm, int xidx = 0, int yidx = 1, double[] shear = null)
{
m_XIdx = xidx;
m_YIdx = yidx;
m_Shear = shear;
m_InputDim = algorithm.TrainingSample.First().Key.Length;
var fn = string.Format("data/{0}-{1:yyyyMMdd-hhmmss}.csv", algorithm.ID, DateTime.Now);
using (var file = File.Create(fn))
using (var writer = new StreamWriter(file))
{
prepareCanvas();
doCalc(algorithm, writer);
}
}
private void doCalc(ISupervisedAlgorithm <double[]> algorithm, StreamWriter writer)
{
for (var k = 0; k < Math.Max(m_XCnt, m_YCnt); k++)
{
var px = (k < m_XCnt) ? getProjPoint(k, 0)[0].ToString() : string.Empty;
var py = (k < m_YCnt) ? getProjPoint(0, k)[1].ToString() : string.Empty;
var pd = string.Empty;
if (k < m_YCnt)
{
var data = new double[m_XCnt];
for (int i = 0; i < m_XCnt; i++)
{
var point = getPoint(i, k);
var cls = algorithm.Classify(point);
data[i] = cls.Value;
}
pd = string.Join(COMMA, data);
}
writer.WriteLine("{0},{1},{2}", px, py, pd);
}
}
