public static void RunExperiments(Outputter outputter)
{
ModelRunner runner = new ModelRunner(outputter);
Console.WriteLine($"\n{Contents.S2TestingOutTheModel.NumberedName}.\n");
runner.ToyWith3QuestionsAnd2Skills();
Console.WriteLine($"\n{Contents.S3Loopiness.NumberedName}.\n");
runner.LoopyExample();
// Inference on the real data. Sections 4-6.
runner.RealDataInference();
// PDF demo
Console.WriteLine("PDF demonstration");
runner.ProbabilityDensityFunctionDemo();
// Demo of Beta distribution
Console.WriteLine("Beta function demonstration");
runner.BetaDemo();
// For Beta self assessment
runner.BetaSelfAssessment();
Console.WriteLine("\nCompleted all experiments.");
}
/// <summary>
/// The entry point for the application.
/// The first argument, if present, sets the folder to save the output artifacts in.
/// </summary>
public static void Main(string[] args)
{
var engine = new InferenceEngine();
InitializeUI();
Outputter outputter = new Outputter(Contents.ChapterName);
try
{
ModelRunner runner = new ModelRunner(outputter);
Console.WriteLine($"\n{Contents.S2TestingOutTheModel.NumberedName}.\n");
runner.ToyWith3QuestionsAnd2Skills();
Console.WriteLine($"\n{Contents.S3Loopiness.NumberedName}.\n");
runner.LoopyExample();
// Inference on the real data. Sections 4-6.
runner.RealDataInference();
// PDF demo
Console.WriteLine("PDF demonstration");
runner.ProbabilityDensityFunctionDemo();
// Demo of Beta distribution
Console.WriteLine("Beta function demonstration");
runner.BetaDemo();
// For Beta self assessment
runner.BetaSelfAssessment();
Console.WriteLine("\nCompleted all experiments.");
}
catch (Exception e)
{
Console.WriteLine($"\nAn unhandled exception was thrown:\n{e}");
}
finally
{
if (args.Length == 1)
{
Console.WriteLine("\n\nSaving outputs...");
outputter.SaveOutputAsProducedFlattening(args[0]);
Console.WriteLine("Done saving.");
}
}
}