private static void Modificator(ITypizedDecorArray <INode <double> > z, IList <double[]> inSample, IList <double> exactResult, int iterationCount)
{
var alg = new RegressionAlgorithm(z.A.Node, inSample, exactResult);
alg.Run(iterationCount);
z.A.Replace(alg.GetResult());
}
public void TwoVarsTreeOps()
{
var service = new SampleGenerator(2, 3, 0.001);
var formula = service.GetFormula();
var noiseFormula = formula.Clone<INode>();
NoisyConstants(noiseFormula);
var alg = new RegressionAlgorithm(noiseFormula, service.InSamples, service.ExactResult);
alg.Run();
Assert.AreNotEqual(alg.GetResult(), null);
}
static void Main()
{
var generator = new SampleGenerator(2, 6, 0.001);
var randomFormula = generator.GetFormula();
Console.WriteLine(String.Format("Formula before noise constants: {0}", randomFormula));
NoisyConstants(randomFormula);
Console.WriteLine(String.Format("Formula after: {0}", randomFormula));
var alg = new RegressionAlgorithm(randomFormula, generator.InSamples, generator.ExactResult);
Console.WriteLine("Press any key to start regression...");
Console.ReadKey();
ConsoleGui.Run(alg, 5, "", 1000, 2);
Console.WriteLine("Result: " + alg.GetResult());
Console.ReadKey();
}
public static void Run(RegressionAlgorithm regressionAlgorithm, int iterationShowRate, String formula, int iterationCount = 1000, int iterationCursorPosition = 2)
{
Console.SetCursorPosition(0, iterationCursorPosition);
Console.WriteLine("Functional: {0}", regressionAlgorithm.Formula);
for (var count = 0; regressionAlgorithm.CurrentIteration < iterationCount; count++)
{
regressionAlgorithm.MakeIteration();
if (count % iterationShowRate != 0)
continue;
Console.SetCursorPosition(0, iterationCursorPosition+2);
Console.WriteLine("Iteration #:\t{0}", regressionAlgorithm.CurrentIteration);
Console.WriteLine("Constant set:\t[{0}]", string.Join(" ; ", regressionAlgorithm.InConstant));
Console.WriteLine("ApproximationError:\t{0}", regressionAlgorithm.ApproximationError);
}
}
public static void Run(RegressionAlgorithm alg, int iterationShowRate, String formula, int iterationCount = 1000, int iterationCursorPosition = 2)
{
Console.SetCursorPosition(0, iterationCursorPosition);
Console.WriteLine("Functional: " + alg.Formula);
for (var cnt = 0; ; cnt++)
{
alg.MakeIteration();
if (cnt % iterationShowRate != 0) continue;
Console.SetCursorPosition(0, iterationCursorPosition+2);
Console.WriteLine("Iteration #: " + alg.CurrentIteration);
Console.WriteLine("Constant set: " + "[" + string.Join(" ; ", alg.InConstant) + "]");
Console.WriteLine("ApproximationError: " + alg.ApproximationError);
if (alg.CurrentIteration > iterationCount) break;
}
}
static void Main()
{
var sampleGenerator = new SampleGenerator(2, 6, 0.001);
var randomFormula = sampleGenerator.GetFormula();
Console.WriteLine("Formula before making constants noisy: {0}", randomFormula);
GenerateNoisyConstantsForNodeLeafes(randomFormula);
Console.WriteLine("Formula after making constants noisy: {0}", randomFormula);
Console.WriteLine("Press any key to start regression...");
Console.ReadKey(true);
var alg = new RegressionAlgorithm(randomFormula, sampleGenerator.InSamples, sampleGenerator.ExactResult);
ConsoleGui.Run(alg, 5, "");
Console.WriteLine("Result: {0}", alg.GetResult());
}
private static void Modificator(ITypizedDecorArray<INode<double>> z, IList<double[]> inSample, IList<double> exactResult, int iterationCount)
{
var alg = new RegressionAlgorithm(z.A.Node, inSample, exactResult);
alg.Run(iterationCount);
z.A.Replace(alg.GetResult());
}
