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()); }