private void GenSteadyPatternedMGData(int minTau, int maxTau, int tauSamples, int patternLength, double verifyRatio, string path)
{
CsvDataHolder trainingData = new CsvDataHolder(DelimitedStringValues.DefaultDelimiter);
CsvDataHolder verificationData = new CsvDataHolder(DelimitedStringValues.DefaultDelimiter);
int verifyBorderIdx = (int)(tauSamples * verifyRatio);
for (int tau = minTau; tau <= maxTau; tau++)
{
MackeyGlassGenerator mgg = new MackeyGlassGenerator(new MackeyGlassGeneratorSettings(tau));
int neededDataLength = 1 + patternLength + (tauSamples - 1);
double[] mggData = new double[neededDataLength];
for (int i = 0; i < neededDataLength; i++)
{
mggData[i] = mgg.Next();
}
for (int i = 0; i < tauSamples; i++)
{
DelimitedStringValues patternData = new DelimitedStringValues();
//Steady data
patternData.AddValue(tau.ToString(CultureInfo.InvariantCulture));
//Varying data
for (int j = 0; j < patternLength; j++)
{
patternData.AddValue(mggData[i + j].ToString(CultureInfo.InvariantCulture));
}
//Desired data 1
patternData.AddValue(mggData[i + patternLength].ToString(CultureInfo.InvariantCulture));
//Desired data 2
patternData.AddValue(mggData[i + patternLength].ToString(CultureInfo.InvariantCulture));
//Add to a collections
if (i < verifyBorderIdx)
{
trainingData.DataRowCollection.Add(patternData);
}
else
{
verificationData.DataRowCollection.Add(patternData);
}
}
}
//Save files
trainingData.Save(Path.Combine(path, "SteadyMG_train.csv"));
verificationData.Save(Path.Combine(path, "SteadyMG_verify.csv"));
return;
}
