public void BuildMatrix(string matrix)
{
matrix = matrix.Replace(" ", "");
matrix = matrix.Replace("[", "");
matrix = matrix.Replace("]", "");
string[] separator = { Environment.NewLine };
string[] matrixRows = matrix.Split(separator, StringSplitOptions.RemoveEmptyEntries);
List <double> valeurs = new List <double>();
foreach (string row in matrixRows)
{
string[] result = row.Split(';');
foreach (string e in result)
{
valeurs.Add(Double.Parse(e));
}
}
_row = (uint)matrixRows.Length;
_col = (uint)(valeurs.Count / matrixRows.Length);
_matrix = new double[_row, _col];
for (int i = 0; i < _row; i++)
{
for (int j = 0; j < _col; j++)
{
_matrix[i, j] = valeurs[i * valeurs.Count / matrixRows.Length + j];
}
}
_rowStates = MarkovMatrix.EmptyStates(_row);
_colStates = MarkovMatrix.EmptyStates(_col);
}
public MarkovChain(uint size, MarkovMatrix matrix, MarkovMatrix startProb)
{
_size = size;
TransitionMatrix = matrix;
StartProb = startProb;
InitStartState();
}
/// <summary>
/// Initialise une nouvelle instance de la classe MarkovChain
/// </summary>
/// <param name="size">taille de la matrice de transition</param>
public MarkovChain(uint size) :
this(
size,
new MarkovMatrix("transition matrix", size, size),
new MarkovMatrix("start matrix", 1, size, MarkovMatrix.EquiprobableMatrix(1, size))
)
{
}
/// <summary>
/// Initialise une nouvelle instance de la classe MarkovChain
/// </summary>
/// <param name="size">taille de la matrice de transition</param>
/// <param name="matrix">matrice de transition</param>
public MarkovChain(uint size, MarkovMatrix matrix) :
this(
size,
matrix,
new MarkovMatrix("start matrix", 1, size, MarkovMatrix.EquiprobableMatrix(1, size))
)
{
}
public MarkovChain(MarkovChain markovChain)
{
if (markovChain == null)
{
throw new ArgumentNullException();
}
_size = (uint)markovChain.Size;
TransitionMatrix = markovChain.TransitionMatrix;
StartProb = markovChain.StartProb;
StartState = markovChain.StartState;
CurrentState = markovChain.CurrentState;
}
public MarkovMatrix(MarkovMatrix matrix)
{
if (matrix == null)
{
throw new ArgumentNullException();
}
_row = matrix.Row;
_col = matrix.Col;
Matrix = matrix.Matrix;
RowStates = matrix.RowStates;
ColStates = matrix.ColStates;
}
public MarkovChain(uint size, MarkovMatrix matrix) :
this(size, matrix, new MarkovMatrix(1, size))
{
}
public HiddenMarkovModel(uint size, MarkovMatrix matrix, List <MarkovMatrix> emissionMatrix) :
base(size, matrix)
{
EmissionMatrix = emissionMatrix;
}
