private static void PrintResults(double[] c, int errorCode, alglib.lsfitreport report)
{
if (errorCode == 2) // fitting successfully
{
Console.WriteLine("fitting coefficients: {0}", ToTokenSeparatedString <double>(c, ", ")); // EXPECTED: [1.5]
//Console.WriteLine();
Console.WriteLine("{0,8:N5} R2 non-adjusted coefficient of determination (non-weighted)", report.r2);
Console.WriteLine("{0,8:N5} RMSError rms error on the(X, Y).", report.rmserror);
Console.WriteLine("{0,8:N5} AvgError average error on the(X, Y).", report.avgerror);
Console.WriteLine("{0,8:N5} AvgRelError average relative error on the non-zero Y", report.avgrelerror);
Console.WriteLine("{0,8:N5} MaxError maximum error NON-WEIGHTED ERRORS ARE CALCULATED", report.maxerror);
Console.WriteLine("{0,8:N5} WRMSError weighted rms error on the(X, Y).", report.wrmserror);
}
else
{
Console.WriteLine("fitting returns error code {0}", errorCode);
Console.WriteLine("-8 optimizer detected NAN/INF in the target function and/or gradient");
Console.WriteLine("-7 gradient verification failed.");
Console.WriteLine("-3 inconsistent constraints");
Console.WriteLine(" 2 relative step is no more than EpsX.");
Console.WriteLine(" 5 MaxIts steps was taken");
Console.WriteLine(" 7 stopping conditions are too stringent, further improvement is impossible");
}
//Console.WriteLine();
}
/// <summary>
/// Constructor.
/// </summary>
/// <param name="report">Report from algorithm</param>
/// <param name="didConverge"></param>
public SolverReport(alglib.lsfitreport report, bool didConverge)
{
//see notes at bottom from Alglib website
AverageError = report.avgerror;
DidConverge = didConverge;
IterationCount = report.iterationscount;
MaxError = report.maxerror;
PerPointNoise = report.noise;
RmsError = report.rmserror;
RSquared = report.r2;
WeightedRmsError = report.wrmserror;
}
