public void Test()
{
testData = new DataSetReader(Parameter.TestingFile, Parameter.InputSize,
Parameter.TargetSize);
outputData = new DataSetWriter(Parameter.OutputFile, false,
Parameter.InputSize, Parameter.TargetSize);
double[] data1 = new double[Parameter.InputSize]; // Original data from dataset file.
double[] data2 = new double[Parameter.InputSize]; // Temporaly transformed data (from data1).
double[] target = new double[Parameter.TargetSize];
double[] output = new double[1];
while (testData.Read(data1, target))
{
// transform input level 1
for (int i = 0; i < Parameter.InputSize; i++)
{
data2[i] = inputTransformers1[i].TransformToValue(data1[i]);
}
// transform input level 2
double[] dataInput = inputTransformers2.TransformToDimension(data2);
if (Parameter.Mode == ProcessModifiedHybridFuzzyARTMapMode.EXTERNAL)
{
fartmap.Run(dataInput);
output[0] = outputTransformers.TransformToValue(fartmap.Output);
}
else
{
mfartmap.Run(dataInput);
output[0] = outputTransformers.TransformToValue(mfartmap.Output);
}
outputData.Write(data1, output, target);
if (((int)output[0]) != 0)
{
if (((int)output[0]) == ((int)target[0]))
{
performanceCounter.RightIncrement();
}
else
{
performanceCounter.WrongIncrement();
}
}
else
{
performanceCounter.NonPredictIncrement();
}
}
outputData.Close();
}
public void TestWrite()
{
double[] dataBuffer = new double[] { 1.5 , 2.399 , 3.1234, 4.0555, 5.01111 };
double[] testBuffer = new double[] { 6.0 };
DataSetWriter dwr = new DataSetWriter(FILENAME, false, 5, 1);
for (int i = 0; i < 3; ++i)
{
dwr.Write(dataBuffer, testBuffer, testBuffer);
}
dwr.Close();
DataSetReader dsr = new DataSetReader(FILENAME, 5, 1);
for (;dsr.Read(dataBuffer, testBuffer);) ;
Assert.AreEqual(3, dsr.Count);
}
public void Test()
{
Performance.Reset();
testData = new DataSetReader(Parameter.TestingFile, Parameter.InputSize,
Parameter.TargetSize);
outputData = new DataSetWriter(Parameter.OutputFile, false,
Parameter.InputSize, Parameter.TargetSize);
double[] data1 = new double[Parameter.InputSize]; // Original data from dataset file.
double[] data2 = new double[Parameter.InputSize]; // Temporaly transformed data (from data1).
double[] target = new double[Parameter.TargetSize];
double[] output = new double[1];
while (testData.Read(data1, target))
{
// transform input level 1
for (int i = 0; i < Parameter.InputSize; i++)
{
data2[i] = inputTransformers1[i].TransformToValue(data1[i]);
}
// transform input level 2
double[] dataInput = inputTransformers2.TransformToDimension(data2);
network.Run(dataInput);
output[0] = outputTransformers.TransformToValue(network.Output);
outputData.Write(data1, output, target);
if (Math.Round(output[0], 1) == Math.Round(target[0], 1))
{
performanceCounter.RightIncrement();
}
else
{
performanceCounter.WrongIncrement();
}
}
outputData.Close();
}
public void Test()
{
Performance.Reset();
testData = new DataSetReader(Parameter.TestingFile, Parameter.InputSize,
Parameter.TargetSize);
outputData = new DataSetWriter(Parameter.OutputFile, false,
Parameter.InputSize, Parameter.TargetSize);
double[] data1 = new double[Parameter.InputSize]; // Original data from dataset file.
double[] data2 = new double[Parameter.InputSize]; // Temporaly transformed data (from data1).
double[] target = new double[Parameter.TargetSize];
double[] output = new double[1];
while (testData.Read(data1, target))
{
// transform input level 1
for (int i = 0; i < Parameter.InputSize; i++)
{
data2[i] = inputTransformers1[i].TransformToValue(data1[i]);
}
// transform input level 2
double[] dataInput = inputTransformers2.TransformToDimension(data2);
network.Run(dataInput);
output[0] = outputTransformers.TransformToValue(network.Output);
outputData.Write(data1, output, target);
if (Math.Round(output[0], 1) == Math.Round(target[0], 1))
performanceCounter.RightIncrement();
else
performanceCounter.WrongIncrement();
}
outputData.Close();
}
public void Test()
{
testData = new DataSetReader(Parameter.TestingFile, Parameter.InputSize,
Parameter.TargetSize);
outputData = new DataSetWriter(Parameter.OutputFile, false,
Parameter.InputSize, Parameter.TargetSize);
double[] data1 = new double[Parameter.InputSize]; // Original data from dataset file.
double[] data2 = new double[Parameter.InputSize]; // Temporaly transformed data (from data1).
double[] target = new double[Parameter.TargetSize];
double[] output = new double[1];
while (testData.Read(data1, target))
{
// transform input level 1
for (int i = 0; i < Parameter.InputSize; i++)
{
data2[i] = inputTransformers1[i].TransformToValue(data1[i]);
}
// transform input level 2
double[] dataInput = inputTransformers2.TransformToDimension(data2);
if (Parameter.Mode == ProcessModifiedHybridFuzzyARTMapMode.EXTERNAL)
{
fartmap.Run(dataInput);
output[0] = outputTransformers.TransformToValue(fartmap.Output);
}
else
{
mfartmap.Run(dataInput);
output[0] = outputTransformers.TransformToValue(mfartmap.Output);
}
outputData.Write(data1, output, target);
if (((int)output[0]) != 0)
{
if (((int)output[0]) == ((int)target[0]))
performanceCounter.RightIncrement();
else
performanceCounter.WrongIncrement();
}
else
{
performanceCounter.NonPredictIncrement();
}
}
outputData.Close();
}
