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 void Test()
{
double mse = 0.0;
for (int i = 0; i < testInput.Length; i++)
{
double predictOuput = _regressionMachine.Predict(testInput[i]);
Console.WriteLine(testOutput[i] - predictOuput);
mse += (testOutput[i] - predictOuput) * (testOutput[i] - predictOuput);
}
mse = Math.Sqrt(mse) / testInput.Length;
Console.WriteLine("MSE:" + mse);
}
public void Test()
{
double[][] testDataX = new double[_testDataSize][];
double[] testDataY = new double[_testDataSize];
double[] testDataRefY = new double[_testDataSize];
for (int i = 0; i < _testDataSize; i++)
{
testDataX[i] = new double[1];
testDataX[i][0] = -1.0 + (double)((2 * i)) / (double)(_testDataSize);
}
testDataY = _dataGnr.Calc(testDataX);
testDataRefY = _regressionMachine.Predict(testDataX);
DataAnalyzer analyzer = new DataAnalyzer();
double[] err = analyzer.GetDifference(testDataY, testDataRefY);
double mean = analyzer.Mean(err);
double variance = analyzer.Variance(err);
Console.WriteLine("testDataX:");
for (int i = 0; i < testDataX.Length; i++)
{
Console.Write(testDataX[i][0] + ",");
}
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("testDataY:");
for (int i = 0; i < testDataY.Length; i++)
{
Console.Write(testDataY[i] + ",");
}
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("testDataRefY:");
for (int i = 0; i < testDataRefY.Length; i++)
{
Console.Write(testDataRefY[i] + ",");
}
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("testDataError:");
for (int i = 0; i < err.Length; i++)
{
Console.Write(err[i] + ",");
}
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("Mean: " + mean);
Console.WriteLine("Variance: " + variance);
}
public double RespondQuery()
{
return(_machine.Predict(_pos));
}