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 void TestDistributedMachines()
{
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("TestDistributedMachines");
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);
int totalConnectivity = 0;
for (int j = 0; j < _agentNum; j++)
{
totalConnectivity += _agents[j].connectivity;
}
for (int j = 0; j < _agentNum; j++)
{
testDataRefY = _agents[j].GetMachine().Predict(testDataX);
DataAnalyzer analyzer2 = new DataAnalyzer();
double[] err2 = analyzer2.GetDifference(testDataY, testDataRefY);
double mean2 = analyzer2.Mean(err2);
double variance2 = analyzer2.Variance(err2);
Console.WriteLine("Agent: " + j);
Console.WriteLine("Mean: " + mean2);
Console.WriteLine("Variance: " + variance2);
}
return;
for (int i = 0; i < _testDataSize; i++)
{
for (int j = 0; j < _agentNum; j++)
{
testDataRefY[i] += _agents[j].GetMachine().Predict(testDataX[i])
* _agents[j].connectivity;
}
testDataRefY[i] = testDataRefY[i] / totalConnectivity;
}
DataAnalyzer analyzer = new DataAnalyzer();
double[] err = analyzer.GetDifference(testDataY, testDataRefY);
double mean = analyzer.Mean(err);
double variance = analyzer.Variance(err);
Console.WriteLine("testDataRefY:");
for (int i = 0; i < testDataRefY.Length; i++)
{
Console.Write(testDataRefY[i] + ",");
}
Console.Write("\n");
Console.Write("\n");
Console.WriteLine("Mean: " + mean);
Console.WriteLine("Variance: " + variance);
}
