public void Test()
{
int successTime = 0;
double mse = 0;
for (int i = 0; i < _testSetSize; i++)
{
double labelData = _dataMgr.GetDoubleLabelData(i);
double [] inputData = _dataMgr.GetNormalizedInputData(i);
double[] labelData2 = _dataMgr.GetIntLabelData(i);
_mlp.SetInput(inputData);
_mlp.Feedfowrad();
double maxIndex = _mlp.GetMaxOutputIndex();
if (labelData == maxIndex)
{
successTime++;
}
double[] outputData = _mlp.GetIntOutput();
mse += GetMSE(outputData, labelData2);
}
_mse = mse / (double)_testSetSize;
_successRate = (double)successTime / (double)_testSetSize;
Console.WriteLine("Test set - success rate : " + _successRate + " - mse : " + _mse);
}
void Test()
{
int successTime = 0;
double mse = 0;
if (!_randomSelect)
{
Random rnd = new Random();
int testStartIndex = rnd.Next(_dataMgr.count - _testSetSize);
for (int i = testStartIndex; i < testStartIndex + _testSetSize; i++)
{
if (!_normalizeOuput)
{
double labelData = _dataMgr.GetDoubleLabelData(i);
double[] labelData2 = _dataMgr.GetIntLabelData(i);
double[] inputData;
if (_normalizeInput)
{
inputData = _dataMgr.GetNormalizedInputData(i);
}
else
{
inputData = _dataMgr.GetInputData(i);
}
_network.SetInput(inputData);
_network.Feedfowrad();
double maxIndex = _network.GetMaxOutputIndex();
//Console.Write(maxIndex);
//Console.Write("/"+labelData + " ");
//Console.Write("compare " + labelData + " and " + maxIndex + " ");
if (labelData == maxIndex)
{
successTime++;
}
double [] outputData = _network.GetOutput();
mse += GetMSE(outputData, labelData2);
}
}
}
//Console.Write("\n");
_mse = mse / (double)_testSetSize;
_successRate = (double)successTime / (double)_testSetSize;
}
