public static void writeToExcel <T>(NNsTestResults <T> testResults, string rootPath)
{
createRootResultsDirectoryIfNotExists(rootPath);
List <int> correctAnswersAmount = testResults.correctAnswersAmount;
List <T> correctAnswers = testResults.correctAnswers;
List <List <T> > answers = testResults.answers;
ExcelPackage.LicenseContext = LicenseContext.NonCommercial;
using ExcelPackage package = new ExcelPackage(new FileInfo($"{rootPath}/test_results.xlsx"));
ExcelWorksheet worksheet = package.Workbook.Worksheets.Add("Results");
worksheet.Cells[1, 1].Value = "EXP";
worksheet.Cells[1, 1].Style.Font.Bold = true;
worksheet.Cells[2, 1].Value = correctAnswers.Count;
worksheet.Column(1).Style.Border.Right.Style = ExcelBorderStyle.Thin;
for (int i = 0; i < correctAnswers.Count; i++)
{
worksheet.Cells[i + 4, 1].Value = correctAnswers[i];
}
for (int nnIndex = 0; nnIndex < answers.Count; nnIndex++)
{
int currentColumn = nnIndex + 2;
worksheet.Cells[1, currentColumn].Value = "NN " + (nnIndex + 1);
worksheet.Cells[1, currentColumn].Style.Font.Bold = true;
worksheet.Cells[2, currentColumn].Value = correctAnswersAmount[nnIndex];
worksheet.Cells[3, currentColumn].Value = correctAnswersAmount[nnIndex] * 1d / answers[nnIndex].Count;
for (int answerIndex = 0; answerIndex < answers[nnIndex].Count; answerIndex++)
{
worksheet.Cells[4 + answerIndex, currentColumn].Value = answers[nnIndex][answerIndex];
if (!answers[nnIndex][answerIndex].Equals(correctAnswers[answerIndex]))
{
worksheet.Cells[4 + answerIndex, currentColumn].Style.Font.Color.SetColor(Color.Red);
}
}
worksheet.Column(currentColumn).Style.Border.Right.Style = ExcelBorderStyle.Thin;
}
package.Save();
}
public static void run()
{
Console.Write("Hello. Enter experiments title: ");
string experimentTitle = Console.ReadLine();
Console.Write("Enter experiments description: ");
string experimentDescription = Console.ReadLine();
string rootPath = $"C://nnlib/experiments/{experimentTitle}";
ExperimentLog log = new ExperimentLog(experimentTitle, experimentDescription, parallelNns);
Console.Write("Initialisation of NNs...");
List <NeuralNetwork> nns = setupNNs(log);
Console.WriteLine(" Done.");
Console.WriteLine("Training started!");
Console.Write("In progress");
train(nns, trainSize, log);
Console.WriteLine(" Done.");
Console.WriteLine("Testing started!");
Console.Write("In progress");
NNsTestResults <int> testResults = test(nns, testSize, log);
Console.WriteLine(" Done.");
Console.Write("Saving log... ");
Utils.endLogAndWriteToFile(log, rootPath);
Console.WriteLine(" Done.");
Console.Write("Writing results to excel... ");
Utils.writeToExcel(testResults, rootPath);
Console.WriteLine(" Done.");
Console.Write("Writing NNs configurations to files... ");
Utils.writeNNsToFiles(nns, rootPath);
Console.WriteLine(" Done.");
Console.WriteLine("Process is completed and result is saved in excel file.");
Console.ReadKey();
}
public static void run()
{
Console.Write("Hello. Enter experiments title: ");
string experimentTitle = Console.ReadLine();
Console.Write("Enter experiments description: ");
string experimentDescription = Console.ReadLine();
string rootPath = $"./experiments/{experimentTitle}";
ExperimentLog log = new ExperimentLog(experimentTitle, experimentDescription, 1);
Console.Write("Enter config files name: ./experiments/loads/");
string loadName = Console.ReadLine();
Console.Write("Deserialization of NN...");
NeuralNetwork nn = deserialize($"./experiments/loads/{loadName}", log);
Console.WriteLine(" Done.");
Console.WriteLine("Testing started!");
Console.Write("In progress");
NNsTestResults <int> testResults = Mnist.test(new List <NeuralNetwork> {
nn
}, testSize, log);
Console.WriteLine(" Done.");
Console.Write("Saving log... ");
Utils.endLogAndWriteToFile(log, rootPath);
Console.WriteLine(" Done.");
Console.Write("Writing data to excel... ");
Utils.writeToExcel(testResults, rootPath);
Console.WriteLine(" Done.");
Console.WriteLine("Process is completed and result is saved in excel file.");
Console.ReadKey();
}
