예제 #1
0
        public void Predict_PredictionRequestWithoutParameters_Null()
        {
            var predictor = new SearchBasedPredictor(null);

            var model = (HiddenMarkovModelMixtureDistribution)HiddenMarkovModelFactory.GetModel(new ModelCreationParameters <Mixture <IMultivariateDistribution> >()
            {
                NumberOfComponents = _NumberOfComponents, NumberOfStates = _NumberOfStates
            });
            var request = new SearchBasedPredictionRequest();

            var value = predictor.Predict(model, request);

            Assert.IsNull(value);
        }
예제 #2
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        public void Predict_PredictionRequestWihtoutNumberOfSamplePoints_Null()
        {
            var predictor = new SearchBasedPredictor(null);

            var model = (HiddenMarkovModelMixtureDistribution)HiddenMarkovModelFactory.GetModel(new ModelCreationParameters <Mixture <IMultivariateDistribution> >()
            {
                NumberOfComponents = _NumberOfComponents, NumberOfStates = _NumberOfStates
            });
            var request = new SearchBasedPredictionRequest();

            request.AlgorithmSpecificParameters = new Dictionary <string, string>();

            var value = predictor.Predict(model, request);

            Assert.IsNull(value);
        }
예제 #3
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        public void Predict_ModelAndPredictionRequest_PredictedValue()
        {
            var util   = new TestDataUtils();
            var series = util.GetSvcData(util.FTSEFilePath, new DateTime(2010, 12, 18), new DateTime(2011, 12, 18));

            var model = (HiddenMarkovModelMixtureDistribution)HiddenMarkovModelFactory.GetModel(new ModelCreationParameters <Mixture <IMultivariateDistribution> >()
            {
                NumberOfComponents = _NumberOfComponents, NumberOfStates = _NumberOfStates
            });

            model.Normalized = true;
            model.Train(series, _NumberOfIterations, _LikelihoodTolerance);
            var request = new SearchBasedPredictionRequest();

            request.TrainingSet  = series;
            request.NumberOfDays = 1;


            var predictor = new SearchBasedPredictor(null);

            var value = predictor.Predict(model, request);

            Assert.AreEqual(0, value);
        }