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);
}
}
