public ActionResult TeachNN()
{
NeuralNetworkPredictor nn = new NeuralNetworkPredictor(GamesController.getMatchesInfo(),
new List <OutputLayerWeights>(),
new List <TeachedRBF>(),
true);
List <OutputLayerWeights> outputLayerWeightsForSaving = new List <OutputLayerWeights>();
List <TeachedRBF> teachedRBFsForSaving = new List <TeachedRBF>();
NeuralNetworkPredictor.prepareDataForSaving(outputLayerWeightsForSaving, teachedRBFsForSaving);
saveNeuralNetwokToDataBase(outputLayerWeightsForSaving, teachedRBFsForSaving);
return(PartialView("TeachNN"));
}
public ActionResult FutureEvents()
{
var outputLayerWeights = neuralNetworkDb.OutputLayerWeights.ToList();
var teachedRBFs = neuralNetworkDb.TeachedRBFs.ToList();
List <MatchInfo> _matchesInfo = GamesController.getMatchesInfo().Where(m => m.realResult == 3).ToList();
GeneralPredictor generalPredictor = new GeneralPredictor(_matchesInfo, outputLayerWeights, teachedRBFs);
if (NeuralNetworkPredictor.isNetworkChanged())
{
List <OutputLayerWeights> outputLayerWeightsForSaving = new List <OutputLayerWeights>();
List <TeachedRBF> teachedRBFsForSaving = new List <TeachedRBF>();
NeuralNetworkPredictor.prepareDataForSaving(outputLayerWeightsForSaving, teachedRBFsForSaving);
saveNeuralNetwokToDataBase(outputLayerWeightsForSaving, teachedRBFsForSaving);
}
List <double[]> predictions = new List <double[]>();
List <double[]> realCoefficients = new List <double[]>();
List <double[]> adjustedCoefficients = new List <double[]>();
double[] empty = new double[] { 0, 0, 0 };
foreach (MatchInfo matchInfo in _matchesInfo)
{
if (matchInfo.realResult != 3)
{
predictions.Add(empty);
realCoefficients.Add(empty);
adjustedCoefficients.Add(empty);
}
else
{
predictions.Add(generalPredictor.predict(matchInfo));
realCoefficients.Add(CoefficientsCalculator.calculateRealCoefficients(generalPredictor.predict(matchInfo)));
adjustedCoefficients.Add(CoefficientsCalculator.calculateAdjustedCoefficients(generalPredictor.predict(matchInfo)));
}
}
ViewBag.Message = "Общее предсказание";
ViewBag.Matches = _matchesInfo;
ViewBag.Predictions = predictions;
ViewBag.RealCoefficients = realCoefficients;
ViewBag.AdjustedCoefficients = adjustedCoefficients;
ViewBag.i = 0;
ViewBag.ResultsEncoder = ResultsEncoder.results;
return(View());
}
public ActionResult RatesInfo()
{
string userId = User.Identity.GetUserId();
List <Rate> rates = ratesDb.Rates.Where(r => String.Equals(r.UserId, userId)).ToList();
List <MatchInfo> _matchesInfo = GamesController.getMatchesInfo();
List <MatchInfo> _ratedMatchesInfo = new List <MatchInfo>();
foreach (Rate rate in rates)
{
_ratedMatchesInfo.Add(_matchesInfo.Find(m => m.id == rate.MatchId));
}
ViewBag.Rates = rates;
ViewBag.Matches = _ratedMatchesInfo;
ViewBag.i = 0;
ViewBag.ResultsEncoder = ResultsEncoder.results;
return(View());
}