public void TestHogOnAllNewDataWithPerformanceAndConfidence()
{
var folds = 5;
for (int i = 0; i < folds; i++)
{
var allData = ReadAllFiles(folds);
var testData = allData[i];
allData.RemoveAt(i);
var data = Reading.MergeReadings(allData);
Link.RenewalFactor = 0.000003; // maybe decrease
Link.Step = 0.05;
var sut = new NeuralNet(2, 10, data.InputValues[0], data.ExpectedResults[0]);
var iterations = sut.TrainAdaptiveWithConfidenceAndPerformance(data.InputValues, data.ExpectedResults, -0.00005, 1000000, testData);
sut.PrintWeights(@"C:\Users\Serban\Pictures\20+\testData\OneLayertrainedOnData" + i + ".txt", iterations);
}
}
public void TestHogOnAllNewDataWithPerformanceAndConfidence(string dataPath)
{
var folds = 5;
for (int i = 0; i < folds; i++)
{
var allData = Reading.ReadAllFiles(dataPath, folds);
var testData = allData[i];
allData.RemoveAt(i);
var data = Reading.MergeReadings(allData);
Link.RenewalFactor = 0.000003; // maybe decrease
Link.Step = 0.05;
var sut = NeuralNetFactory.Create(2,
10,
data.InputValues[0].Count,
data.ExpectedResults[0].Count);
var iterations = sut.TrainAdaptiveWithConfidenceAndPerformance(data.InputValues, data.ExpectedResults, -0.00005, 150000, testData, i, dataPath);
}
}
public void TestHogOnAllNewData()
{
var testResultsPath = @"C:\Users\Serban\Pictures\20+\testData\zDataTestsPerformance.txt";
var confidencePath = @"C:\Users\Serban\Pictures\20+\testData\zDataTestsConfidence.txt";
var folds = 5;
for (int i = 4; i < folds; i++)
{
var allData = ReadAllFiles(folds);
var testData = allData[i];
allData.RemoveAt(i);
var data = Reading.MergeReadings(allData);
Link.RenewalFactor = 0.000003; // maybe decrease
Link.Step = 0.05;
var sut = new NeuralNet(2, 10, data.InputValues[0], data.ExpectedResults[0]);
var iterations = sut.TrainAdaptive(data.InputValues, data.ExpectedResults, -0.00005, 1000000);
sut.PrintWeights(@"C:\Users\Serban\Pictures\20+\testData\trainedOnData" + i + ".txt", iterations);
string results = (i + 1).ToString() + " ";
string confidence = (i + 1).ToString() + " ";
for (int testSet = 0; testSet < testData.InputValues.Count; testSet++)
{
sut.ChangeData(testData.InputValues[testSet], testData.ExpectedResults[testSet]);
results += sut.CalculatePerformance() + " ";
confidence += sut.CalculateConfidence() + " ";
}
results += Environment.NewLine;
confidence += Environment.NewLine;
File.AppendAllText(testResultsPath, results);
File.AppendAllText(confidencePath, confidence);
}
}
