public static void saveWeights(string path, LearnerData LD, int optionsCount, int vectorLength)
{
File.Delete(path);
using (StreamWriter sw = new StreamWriter(path))
{
for (int x = 0; x < LD.parameters.Count; x++)
sw.WriteLine(LD.parameters[x].ToString());
for (int n = 0; n < optionsCount; n++)
for (int i = 0; i < vectorLength; i++)
sw.WriteLine(LD.weights[n][i].ToString());
}
}
public static LearnerData loadWeights(string path, int parametersCount, int optionsCount, getVectorLength GVL)
{
List<double> parameters = new List<double>();
using (StreamReader sw = new StreamReader(path))
{
for (int x = 0; x < parametersCount; x++)
parameters.Add(Convert.ToDouble(sw.ReadLine()));
int vectorLength = GVL(parameters);
LearnerData result = new LearnerData(optionsCount, vectorLength);
result.parameters = parameters;
for (int n = 0; n < optionsCount; n++)
for (int i = 0; i < vectorLength; i++)
result.weights[n][i] = Convert.ToDouble(sw.ReadLine());
return result;
}
}
public override void saveWeights(string path)
{
LearnerData LD = new LearnerData(blockCols, blockRows, weights);
Saver.saveWeights(path, LD, optionsCount, vectorLength);
}
