public static void Main(string[] args)
{
var options = new Options();
var parser = Parser.Default;
string invokedCommand = "";
object invokedSubOptions = null;
if (!parser.ParseArgumentsStrict(args, options, (command, subOptions) =>
{
invokedCommand = command;
invokedSubOptions = subOptions;
}))
{
Environment.Exit(Parser.DefaultExitCodeFail);
}
var verbose = ((CommonSubOptions)invokedSubOptions).Verbose;
if (verbose)
{
Console.WriteLine(Options.GetHeading().ToString());
Console.WriteLine();
}
switch (invokedCommand)
{
case "train":
var trainSubOptions = (TrainSubOptions)invokedSubOptions;
if (!trainSubOptions.Validate()) Environment.Exit(Parser.DefaultExitCodeFail);
var learningRate = trainSubOptions.LearningRate;
var stepFunction = trainSubOptions.StepFunction;
var weightsLimit = trainSubOptions.InitialWeights;
var useAdaline = trainSubOptions.UseAdaline;
var perceptron = PerceptronTrainer.CreatePerceptron(
learningRate,
weightsLimit,
2,
stepFunction,
useAdaline
);
if (useAdaline)
{
var adalineThreshold = trainSubOptions.AdalineThreshold;
PerceptronTrainer.TrainPerceptron_And(perceptron, adalineThreshold, verbose);
}
else
{
PerceptronTrainer.TrainPerceptron_And(perceptron);
}
if (!PerceptronTrainer.Test_And(perceptron, verbose))
{
Console.Error.WriteLine("Test data failed!");
}
if (trainSubOptions.Octave)
{
ConsoleHelper.WriteYellowLine("Octave plot code:");
Console.WriteLine(perceptron.GenerateOctaveCode());
Console.WriteLine();
}
Console.Write(perceptron.ToJson());
break;
case "experiment":
var experimentSubOptions = (ExperimentSubOptions)invokedSubOptions;
if (!experimentSubOptions.Validate()) Environment.Exit(Parser.DefaultExitCodeFail);
switch (experimentSubOptions.Type)
{
case ExperimentRunner.ExperimentType.LearningRate:
ExperimentRunner.LearningRate(
experimentSubOptions.From,
experimentSubOptions.To,
experimentSubOptions.Step,
experimentSubOptions.Repetitions,
experimentSubOptions.InitialWeights,
experimentSubOptions.StepFunction,
2,
experimentSubOptions.UseAdaline,
experimentSubOptions.AdalineThreshold,
experimentSubOptions.Verbose
);
break;
case ExperimentRunner.ExperimentType.InitialWeights:
ExperimentRunner.WeightsRange(
experimentSubOptions.From,
experimentSubOptions.To,
experimentSubOptions.Step,
experimentSubOptions.Repetitions,
experimentSubOptions.LearningRate,
experimentSubOptions.StepFunction,
2,
experimentSubOptions.UseAdaline,
experimentSubOptions.AdalineThreshold,
experimentSubOptions.Verbose
);
break;
case ExperimentRunner.ExperimentType.AdalineThreshold:
ExperimentRunner.AdalineTreshold(
experimentSubOptions.From,
experimentSubOptions.To,
experimentSubOptions.Step,
experimentSubOptions.Repetitions,
experimentSubOptions.LearningRate,
experimentSubOptions.InitialWeights,
2,
experimentSubOptions.Verbose
);
break;
case ExperimentRunner.ExperimentType.AdalineError:
ExperimentRunner.AdalineError(
experimentSubOptions.LearningRate,
experimentSubOptions.InitialWeights,
experimentSubOptions.AdalineThreshold,
2
);
break;
case ExperimentRunner.ExperimentType.Error:
ExperimentRunner.Error(
experimentSubOptions.LearningRate,
experimentSubOptions.InitialWeights,
experimentSubOptions.StepFunction,
2
);
break;
default:
throw new ArgumentOutOfRangeException();
}
break;
case "test":
var testSubOptions = (TestSubOptions)invokedSubOptions;
if (!testSubOptions.Validate()) Environment.Exit(Parser.DefaultExitCodeFail);
var json = File.ReadAllText(testSubOptions.PerceptronJsonPath);
var p = PerceptronTrainer.CreatePerceptron(json);
if (p == null)
{
ConsoleHelper.WriteErrorLine("Perceptron json is invalid");
Environment.Exit(Parser.DefaultExitCodeFail);
}
if (testSubOptions.TestAnd) PerceptronTrainer.Test_And(p, true);
if (!double.IsNaN(testSubOptions.X1) && !double.IsNaN(testSubOptions.X2))
{
var input = new[] { testSubOptions.X1, testSubOptions.X2 };
Console.WriteLine(p.Feedforward(input));
}
if (testSubOptions.Octave) Console.Write(p.GenerateOctaveCode());
break;
default:
Environment.Exit(Parser.DefaultExitCodeFail);
break;
}
Environment.Exit(0);
}
