public void ValidateStates()
{
var enumerator = RowsWithDistributions.GetEnumerator();
//every row contains one probability distribution (also the initial distribution)
while (enumerator.MoveNextRow())
{
// for each state there is a row. The sum of all columns in a row should be 1.0
var probability = 0.0;
while (enumerator.MoveNextColumn())
{
if (enumerator.CurrentColumnValue != null)
{
probability += enumerator.CurrentColumnValue.Value.Value;
}
else
{
throw new Exception("Entry must not be null");
}
}
if (!Probability.IsOne(probability, 0.000000001))
{
throw new Exception("Probabilities should sum up to 1");
}
}
}
public void SealProbabilityMatrix()
{
RowsWithDistributions.OptimizeAndSeal();
}
internal void FinishDistribution()
{
RowsWithDistributions.FinishRow();
}
internal void AddTransitionOptimized(int markovChainState, double probability)
{
RowsWithDistributions.MergeOrAddColumnValueToCurrentRow(new SparseDoubleMatrix.ColumnValue(StateToColumn(markovChainState), probability));
Transitions++;
}
internal void StartWithNewDistribution()
{
RowsWithDistributions.SetRow(RowsWithDistributions.Rows); //just append one row
_rowCountOfCurrentState++;
}
private void AddTransitionToInitialDistributionUnoptimized(int markovChainState, double probability)
{
RowsWithDistributions.AddColumnValueToCurrentRow(new SparseDoubleMatrix.ColumnValue(StateToColumn(markovChainState), probability));
}
