/// <summary>
/// Resets the state of the engine.
/// </summary>
public void Reset()
{
LatestViterbiStates = new List <ViterbiState <S, T> >()
{
ViterbiState <S, T> .InitialState()
};
}
public ViterbiEngine(IHiddenMarkovModel <S, T> model)
{
LatestViterbiStates = new List <ViterbiState <S, T> >()
{
ViterbiState <S, T> .InitialState()
};
Model = model;
}
public static ViterbiState <S, T> InitialState()
{
var result = new ViterbiState <S, T>();
result.Probabilities = new ProbabilityVector <S>();
result.TransitionMemory = new List <Dictionary <S, S> >();
return(result);
}
private void UpdateViterbiState(ProbabilityVector <S> probabilities, T prevObservation, Dictionary <S, S> transitions)
{
var newTransitionMemory = ViterbiState.TransitionMemory.ToList();
newTransitionMemory.Add(transitions);
var newViterbiState = new ViterbiState <S, T>(probabilities, prevObservation, newTransitionMemory);
LatestViterbiStates.Add(newViterbiState);
if (LatestViterbiStates.Count > _stateHistoryDepth)
{
LatestViterbiStates = LatestViterbiStates.Skip(1).ToList();
}
}
/// <summary>
/// Gets the most likely sequence of states given the current state of the engine.
/// </summary>
/// <returns></returns>
public List <S> GetMostLikelySequence()
{
return(ViterbiState.GetMostLikelySequence());
}
