public void TestTransformPointsWithString()
{
var values = FileToArray.Converter(@"C:\Users\emiol\Desktop\2nd year Assignment\Neuro Computing\Neuro Computing\TestNeuroComputing\TextFile2.txt");
var fileName = @"C:\Users\emiol\Desktop\2nd year Assignment\Neuro Computing\Neuro Computing\TestNeuroComputing\ResultTransform.txt";
string variables = "(-6.2885988031575; 12.460789807627599; 18.89248777613829; 37.120601271727345; -0.20593180312635412; 13.164690430237883)";
TransformPoint.WriteTransformPointToFile(values.ToList(), variables, fileName);
}
public void MainFunctionToRun()
{
var values2 = FileToArray.Converter(@"C:\Users\emiol\Downloads\TestPir.txt");
var values = FileToArray.Converter(@"C:\Users\emiol\Downloads\TestPir2.txt");
var resultPath = @"C:\Users\emiol\Desktop\2nd year Assignment\Neuro Computing\Neuro Computing\TestNeuroComputing\Result.txt";
RelateTwoArrays relateTwoArrays = new RelateTwoArrays();
relateTwoArrays.RelateTwoTuples(values.ToList(), values2.ToList());
GradientDescent gradientDescent = new GradientDescent(relateTwoArrays.firstVector.ToArray(), relateTwoArrays.secondVector.ToArray());
gradientDescent.calculateGradientDescent(0.0000001f, 300, 100000);
var result = gradientDescent.result;
using (StreamWriter writer = new StreamWriter(resultPath))
{
for (int i = 0; i < result.Count; i++)
{
string value = (i + 1) + ". " + result.ElementAt(i).Item1 + " (" + result.ElementAt(i).Item2.alpha + "; " + result.ElementAt(i).Item2.beta + "; " +
result.ElementAt(i).Item2.gamma + "; " + result.ElementAt(i).Item2.deltaX + "; "
+ result.ElementAt(i).Item2.deltaY + "; " + result.ElementAt(i).Item2.deltaZ + ")";
writer.WriteLine(value);
}
}
}