public IPredictionResult Predict <TDistribution>(IHiddenMarkovModel <TDistribution> model, IPredictionRequest request) where TDistribution : IDistribution
{
if (!request.ValidateAlgorithmSpecificParameters())
{
return(null);
}
var n = Convert.ToInt32(request.AlgorithmSpecificParameters["NumberOfSamplePoints"]);
var k = Convert.ToInt32(request.AlgorithmSpecificParameters["NumberOfWinningPoints"]);
//var ratios = GetMaximumChangeRatios(request.TrainingSet);
//var candidates = CreateStartingPool(request.TestSet[0], n, ratios);
/* do
* {
* //var winningCandidate = CalculateWinningCandidates(k, candidates, model);
* //candidates = CreateCandidatePoolFromArray(winningCandidate, n, ratios);
* } while (Continue(request, candidates));*/
var result = new PredictionResult()
{
Predicted = new double[1][]
};
//result.Predicted[0] = GetBestProbabilityCandidate(candidates);
return(result);
}
