/// <summary>
/// Uses the path variable to parametrise a HMM for each file at that path (each file contains the parameters of a trained HMM)
/// </summary>
private void loadParameters()
{
string parametersFile = dataPath + "Parameters/" + name + "/";
string[] fileNames = Directory.GetFiles(parametersFile);
D_HMM dhmm;
foreach (string fileName in fileNames)
{
string hmmname = fileName.Split('.')[0];
hmmname = hmmname.Split('/').Last();
dhmm = new D_HMM(hmmname, parametersFile);
jointHMMs.Add(hmmname, dhmm);
}
}
/// <summary>
/// Returns a newly initialized HMM. This method is where we encode our initial markov chain topology
/// </summary>
/// <param name="name">The name of the HMM (the sign corresponding to this HMM)</param>
/// <param name="centroids">The centroids of the clusters of the training data, used to convert input streams to HMM symbol streams</param>
/// <returns>a new HMM which is initialized with a predetermined topology and ready to be trained</returns>
private D_HMM initializeNewHMM(string name, double[][] centroids)
{
//Create A
double[,] A = new double[12, 12];
for (int i = 0; i < 12; i++)
{
A[i, i] = 0.5;
if (i < 11)
{
A[i, i + 1] = 0.5;
}
A[11, 11] = 1;
}
//Create B
double[,] B = new double[12, centroids.Length+1];
for (int i = 0; i < 12; i++)
{
for (int j = 0; j < centroids.Length+1; j++)
{
B[i, j] = (1.0 / (centroids.Length+1));
}
}
//Pi
double[] pi = new double[12];
pi[0] = 1;
D_HMM hmm = new D_HMM(pi, A, B, centroids, name);
return hmm;
}