public ActionResult SolutionOnVariant()
{
OnVariant variant = new OnVariant();
ResultModel result = new ResultModel();
result.resultAlgorithmValda = AlgorithmWald.ToSolve(variant.matrix);
result.resultMaximeCriterion = MaximeCriterion.ToSolve(variant.matrix);
result.resultLaplacesAlgorithm = Laplace_sAlgorithm.ToSolve(variant.matrix);
result.resultBayesAlgorithm = BayesAlgorithm.ToSolve(variant.matrix, variant.probabilities);
result.resultAlgorithmHurwitz = AlgorithmHurwitz.ToSolve(variant.y, variant.matrix);
result.resultAlgorithmSevidge = AlgorithmSevidge.ToSolve(variant.matrix);
return(View("Solution", result));
}
public ActionResult Solution(InputDataModel input, List <double> elemMatrix, List <double> probability)
{
double numberProbability = 0;
for (int i = 0; i < probability.Count; i++)
{
numberProbability += probability[i];
}
if (ModelState.IsValid && numberProbability == 1)
{
double[,] matrix = ListToDoubleArray(input, elemMatrix);
ResultModel result = new ResultModel();
result.resultAlgorithmValda = AlgorithmWald.ToSolve(matrix);
result.resultMaximeCriterion = MaximeCriterion.ToSolve(matrix);
result.resultLaplacesAlgorithm = Laplace_sAlgorithm.ToSolve(matrix);
result.resultBayesAlgorithm = BayesAlgorithm.ToSolve(matrix, probability);
result.resultAlgorithmHurwitz = AlgorithmHurwitz.ToSolve(input.y, matrix);
result.resultAlgorithmSevidge = AlgorithmSevidge.ToSolve(matrix);
return(View(result));
}
return(View("Error"));
}
