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 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(); }