public void Process()
{
Console.WriteLine(DbSettings.fullpath);
EEGRecordStorage s = new EEGRecordStorage();
EEGRecord r = s.LoadModel("MLPdata");
LdaMLP model = new LdaMLP();
Console.WriteLine("Data loaded");
//r.FeatureVectorsInputOutput.ForEach(p => p+= ((double)100));
//List<double[]> modifiedData = new List<double[]>();
//foreach (double[] vector in r.FeatureVectorsInputOutput)
//{
// var v=vector.Where((p, index) => index > 0).Select(g => g * 100).ToArray();
// modifiedData.Add(v);
//}
//foreach (double[] vector in r.FeatureVectorsInputOutput)
//{
// for (int p = 1; p < vector.Length; p++)
// {
// vector[p] /= 1000000000000;
// }
//}
for (int k = 0; k < 1; k++)
{
model.Train(new EEGRecord(r.FeatureVectorsOutputInput));
}
int i = 0;
int ok = 0;
foreach (double[] vector in r.FeatureVectorsOutputInput)
{
i++;
double[] input = new double[vector.Length - 1];
Array.Copy(vector, 1, input, 0, vector.Length - 1);
int result = model.Classify(input);
if (result == vector[0])
{
ok++;
Console.WriteLine("Result " + result + " Expected " + vector[0] + " OK");
}
else
{
Console.WriteLine("Result " + result + " Expected " + vector[0]);
}
}
Console.WriteLine(i);
Console.WriteLine(ok);
Console.ReadKey();
}
public void Process()
{
Console.WriteLine(DbSettings.fullpath);
EEGRecordStorage s = new EEGRecordStorage();
EEGRecord r = s.LoadModel("MLPdata");
Console.WriteLine("Data loaded");
LdaSVM model = new LdaSVM();
for (int k = 0; k < 1; k++)
{
model.Train(new EEGRecord(r.FeatureVectorsOutputInput));
}
int i = 0;
int ok = 0;
foreach (double[] vector in r.FeatureVectorsOutputInput)
{
i++;
double[] input = new double[vector.Length - 1];
Array.Copy(vector, 1, input, 0, vector.Length - 1);
int result = model.Classify(input);
if (result == vector[0])
{
ok++;
Console.WriteLine("Result " + result + " Expected " + vector[0] + " OK");
}
else
{
Console.WriteLine("Result " + result + " Expected " + vector[0]);
}
}
Console.WriteLine(i);
Console.WriteLine(ok);
Console.ReadKey();
}