public void Test()
{
int testSize = 10;
for (int i = 0; i < testSize; i++)
{
int index = _rnd.Next(_dataMgr.count - 1);
double[] testInput = _dataMgr.GetInputData(index);
double testOutput = _dataMgr.GetLabelData(index);
double predictOuput = _regressionMachine.Predict(testInput);
Console.WriteLine("Test Index:" + index + ", Expected:" + testOutput + " Predict:" + predictOuput);
}
double mse = 0.0;
for (int i = 0; i < _output.Length; i++)
{
double[] testInput = _dataMgr.GetInputData(i);
double testOutput = _dataMgr.GetLabelData(i);
double predictOuput = _regressionMachine.Predict(testInput);
mse += (testOutput - predictOuput) * (testOutput - predictOuput);
}
mse = Math.Sqrt(mse) / _output.Length;
Console.WriteLine("MSE:" + mse);
}
public KernelRegressionTester(HouseDataMgr dataMgr, KernelRegression machine = null)
{
_dataMgr = dataMgr;
_input = new double[_dataMgr.count][];
_output = new double[_dataMgr.count];
for (int i = 0; i < _dataMgr.count; i++)
{
_input[i] = _dataMgr.GetInputData(i);
_output[i] = _dataMgr.GetLabelData(i);
}
if (null == machine)
{
_regressionMachine = new KernelRegression();
}
else
{
_regressionMachine = machine;
}
_rnd = new Random();
}