static void SolveViterbiLearning()
{
// read data
StreamReader input = new StreamReader("data.txt");
HiddenMarkovModel HMM = new HiddenMarkovModel();
int iterations = Int32.Parse(input.ReadLine().Trim());
input.ReadLine();
string outcome = input.ReadLine().Trim();
input.ReadLine();
ReadAlphabet(input, HMM);
ReadStates(input, HMM);
ReadTransition(input, HMM);
ReadEmission(input, HMM);
for (int i = 0; i < iterations; ++i)
{
double prob = 0.0;
string path = HMM.DecodePath(outcome, ref prob);
HMM.EstimateParameters(outcome, path);
}
StreamWriter output = new StreamWriter("result.txt");
output.Write(HMM._transition.ToString());
output.WriteLine("--------");
output.Write(HMM._emission.ToString());
output.Flush();
}
static void SolveParameterEstimation()
{
// read data
StreamReader input = new StreamReader("data.txt");
HiddenMarkovModel HMM = new HiddenMarkovModel();
string outcome = input.ReadLine().Trim();
input.ReadLine();
ReadAlphabet(input, HMM);
string path = input.ReadLine().Trim();
input.ReadLine();
ReadStates(input, HMM);
HMM.EstimateParameters(outcome, path);
StreamWriter output = new StreamWriter("result.txt");
output.Write(HMM._transition.ToString());
output.WriteLine("--------");
output.Write(HMM._emission.ToString());
output.Flush();
}
