/// <summary>
/// Function called each frame
/// </summary>
void Update()
{
if (save)
{
save = false; dS.saveOnFile();
}
}
/// <summary>
/// Save on file a parameters+changes configuration
/// </summary>
/// <param name="stats">array of parameters</param>
/// <param name="pc">array of potencial changes</param>
void SaveStats(float[] stats, float[] pc)
{
string[] attributes = new string[myVals.Length];
for (int i = 0; i < myVals.Length; i++)
{
attributes[i] = "Attr" + (i + 1).ToString();
}
dataSaver ds = new dataSaver(folder + "\\Stat" + indxSaving + ".fit #" + bestFitness + "#", attributes);
ds.addLine(stats);
ds.addLine(pc);
ds.saveOnFile();
indxSaving++;
}
/// <summary>
/// Save a set of parameters to a file.
/// <para>This function is used to save the parameters of the best individuals</para>
/// </summary>
/// <param name="keys">array of parameters used for an experiment</param>
/// <param name="fitness">fitness obtained with that set of keys</param>
void SaveStats(float[] keys, float fitness)
{
if (!autoSave)
{
return;
}
float[] stats = new float[keys.Length + 1];
stats[0] = fitness;
for (int i = 1; i < stats.Length; i++)
{
stats[i] = keys[i - 1];
}
dataSaver ds = new dataSaver(folder + "\\Stat" + indxSaving + ".gen " + actGeneration + ".fit #" + fitness + "#", attributes);
ds.addLine(stats);
ds.saveOnFile();
indxSaving++;
}
/// <summary>
/// Function called each frame
/// </summary>
void Update()
{
if (save)
{
save = false; ds.saveOnFile();
}
// if the boolean 'readFile' is true, we substitute the array setted in the editor with the one in the file
// in this way is possible to continue the training until a certain point and later start from that point
if (readFile)
{
float[,] t = dataReader.readFile(folder + "\\" + PathFileToRead);
if (t == null)
{
Debug.Log("Check the filename"); readFile = false; return;
}
for (int i = 0; i <= t.GetUpperBound(1); i++)
{
myVals[i] = t[0, i];
}
for (int i = 0; i <= t.GetUpperBound(1); i++)
{
potencialChanges[i] = t[1, i];
}
Debug.Log("file readed");
readFile = false;
twiddleStep = -2;
iPC = 0;
}
else if (twiddle())
{
Debug.Log("Experiment finished");
}
}
