static void Main(string[] args)
{
SingleRunReport report = new SingleRunReport();
report.addComment("report on");
report.addComment("asus Zenfone laser");
report.addStep("gghjjhk", "ffjhgkj", null, ExecutionResult.Pass);
report.addStep("vbjnkml", "fhjgjhk", "gfghmj", null, ExecutionResult.Fail);
report.Header = "pcloudy";
report.Footer = "@copyright pcloudy.ssts.inc";
FileInfo reportOut = new FileInfo(Path.Combine(Environment.CurrentDirectory, "Reports", report.Header + ".html"));
if (reportOut.Directory.Exists == false)
{
reportOut.Directory.Create();
}
HtmlFilePrinter printer = new HtmlFilePrinter(reportOut);
printer.printSingleRunReport(report);
Console.WriteLine(reportOut.FullName);
Console.ReadLine();
}
static void Main(string[] args)
{
pCloudyClient client = new pCloudyClient("https://device.pcloudy.com");
String authToken = client.authenticateUser("*****@*****.**", "qngf3bgv6h8pg2r8xm78xvxz");
var p = client.getAvailableApps(authToken);
var time = p[0].UploadedOn_UTC;
SingleRunReport report = new SingleRunReport();
report.addComment("Report on");
report.addComment("Asus Zenfone laser");
report.addStep("TestStep-1", "Arguments", null, ExecutionResult.Pass);
report.addStep("TestStep-2", "Other Arguments", "output", null, ExecutionResult.Fail);
report.Header = "pCloudy";
report.Footer = "@Copyright pCloudy.sstsinc.com";
FileInfo reportOut = new FileInfo(Path.Combine(Environment.CurrentDirectory, "Reports", report.Header + ".html"));
if (reportOut.Directory.Exists == false)
{
reportOut.Directory.Create();
}
HtmlFilePrinter printer = new HtmlFilePrinter(reportOut);
printer.printSingleRunReport(report);
Console.WriteLine(reportOut.FullName);
Console.ReadLine();
}
/// <summary>
/// Save results of a single learning (a single run) - just 1 network, 1 learning.
/// Saves error plot, regression plot, and info about the run.
/// </summary>
/// <param name="layersVal"></param>
/// <param name="learningSettings"></param>
/// <param name="report"></param>
/// <param name="regressionPlot"></param>
/// <param name="errorPlot"></param>
/// <param name="network"></param>
private void SaveSingleRunData(LearningSettings learningSettings,
SingleRunReport report, PlotModel regressionPlot, PlotModel errorPlot, INetwork network) // could be refactored -> use MainWindow fields or create a class
{
DateTime time = report.Time;
List <int> layersVal = RetrieveLayersVal(learningSettings);
string prefix = report.Name;
if (eid.ReportingOptions.ShouldSavePlots)
{
string regressionFileName = prefix + "_regression.png";
string regressionSavePath = System.IO.Path.Combine(innerResultsPath, regressionFileName);
using (FileStream fileStream = new FileStream(regressionSavePath, FileMode.CreateNew))
{
PngExporter.Export(regressionPlot, fileStream, 900, 900, OxyColors.White);
}
string errorFileName = prefix + "_error.png";
string errorSavePath = System.IO.Path.Combine(innerResultsPath, errorFileName);
using (FileStream fileStream = new FileStream(errorSavePath, FileMode.CreateNew))
{
PngExporter.Export(errorPlot, fileStream, 900, 900, OxyColors.White);
}
}
if (eid.ReportingOptions.ShouldSaveRunInfos)
{
string infoFileName = prefix + "_info.txt";
string infoSavePath = System.IO.Path.Combine(innerResultsPath, infoFileName);
FileManager.SaveTextFile(infoSavePath,
GetResultInfo(learningSettings, report.LearningResult, layersVal, network, time));
}
}
static void Main(string[] args)
{
SingleRunReport report = new SingleRunReport();
report.addComment("Report on");
report.addComment("Asus Zenfone laser");
report.addStep("TestStep-1", "Arguments", null, ExecutionResult.Pass);
report.addStep("TestStep-2", "Other Arguments", "output", null, ExecutionResult.Fail);
report.Header = "pCloudy";
report.Footer = "@Copyright pCloudy.sstsinc.com";
FileInfo reportOut = new FileInfo(Path.Combine(Environment.CurrentDirectory, "Reports", report.Header + ".html"));
if (reportOut.Directory.Exists == false)
{
reportOut.Directory.Create();
}
HtmlFilePrinter printer = new HtmlFilePrinter(reportOut);
printer.printSingleRunReport(report);
Console.WriteLine(reportOut.FullName);
Console.ReadLine();
}
private void ProcessSingleResultEntry(LearningSettings settings, SingleRunReport result)
{
RegressionPlotBuilder regressionBuilder = new RegressionPlotBuilder();
PlotModel regressionPlot = regressionBuilder.Build1DRegressionModel(result.TrainSet, result.TestSet, eid.PlotAgainstInput);
//ErrorPlotBuilder errorBuilder = new ErrorPlotBuilder(eid.ErrorScale);
ErrorPlotBuilder errorBuilder = new ErrorPlotBuilder();
PlotModel errorPlot = errorBuilder.SetUpModel(result.LearningResult.MSEHistory);
SaveSingleRunData(settings, result, regressionPlot, errorPlot, result.Network);
if (eid.ReportingOptions.ShouldDisplayPlots)
{
DisplayResults(regressionPlot, errorPlot, result.LearningResult, result.Name);
}
}
