示例#1
0
 private void btStartExperiment_Click(object sender, EventArgs e)
 {
     if (lbSequencesFolderPath.Text != "" && lbModelsFolderPath.Text != "" && tbExperimentSegmentsLength.Text != "" && tbExperimentSequencesLength.Text != "")
     {
         int segmentSize    = Int32.Parse(tbExperimentSegmentsLength.Text);  //добавить проверку
         int sequenceLength = Int32.Parse(tbExperimentSequencesLength.Text); //добавить проверку
         if (segmentSize <= sequenceLength)
         {
             CrossModelComputationPreparator preparator           = new CrossModelComputationPreparator(lbModelsFolderPath.Text, lbSequencesFolderPath.Text);
             List <ModelObject>    modelsList                     = preparator.getModelsList();
             List <SequenceObject> sequencesList                  = preparator.getSequencesList(sequenceLength);
             CrossModelComputation computor                       = new CrossModelComputation(modelsList, sequencesList, segmentSize);
             List <CrossModelComputationResultItem> probabilities = computor.compute();
             string[,] matr = CrossModelComputation.computationResultsAsMatrix(probabilities);
             string s = "";
             for (int i = 0; i < matr.GetLength(0); i++)
             {
                 for (int j = 0; j < matr.GetLength(1); j++)
                 {
                     s += matr[i, j] + ",";
                 }
                 s += "\r\n";
             }
             List <CrossModelComputationResultItem> mmis = computor.computeMaximumMutialInformationDistances(probabilities);
             string[,] matr2 = CrossModelComputation.computationResultsAsMatrix(mmis);
             string s2 = "\r\n";
             for (int i = 0; i < matr2.GetLength(0); i++)
             {
                 for (int j = 0; j < matr2.GetLength(1); j++)
                 {
                     s2 += matr2[i, j] + ",";
                 }
                 s2 += "\r\n";
             }
             OutStreamer os = new OutStreamer("sas.txt", FileOpenMode.RewriteMode);
             os.StringToFile(s + s2);
             if (saveFileDialogExperiment.ShowDialog() == DialogResult.OK)
             {
                 StreamReader f   = File.OpenText("sas.txt");
                 string       Buf = f.ReadToEnd();
                 StreamWriter sw  = new StreamWriter(File.Create(saveFileDialogExperiment.FileName));
                 sw.Write(Buf);
                 sw.Close();
                 f.Close();
             }
         }
         else
         {
             MessageBox.Show("Размер сегмента разбиения не должен превышать длину последовательности");
         }
     }
     else
     {
         MessageBox.Show("Не все параметры заданы");
     }
 }
示例#2
0
        private void btOMCCalculateProbability_Click(object sender, EventArgs e)
        {
            if (lbOMCModelPath.Text != "" && lbOMCSequencePath.Text != "" && tbOMCSegmentLength.Text != "" && tbOMCSequenceLength.Text != "")
            {
                int     segmentSize    = Int32.Parse(tbOMCSegmentLength.Text);  //добавить проверку
                int     sequenceLength = Int32.Parse(tbOMCSequenceLength.Text); //добавить проверку
                HMM_QPN Model          = new HMM_QPN(lbOMCModelPath.Text);
                if (Model.IsCorrect() == 1)
                {
                    int[] res = new int[sequenceLength + 1];
                    try
                    {
                        res = HMM_PSM.GetOutputSequence(lbOMCSequencePath.Text, sequenceLength);
                    }
                    catch (Exception)
                    {
                        MessageBox.Show("Желаемая длина последовательности превышает размер файла");
                        return;
                    }
                    ModelObject         model         = new ModelObject(lbOMCModelPath.Text, Model);
                    SequenceObject      sequence      = new SequenceObject(lbOMCSequencePath.Text, res);
                    OneModelComputation computor      = new OneModelComputation(model, sequence, segmentSize, sequenceLength);
                    List <double>       probabilities = computor.compute();

                    string s = "Model: " + model.ModelName + "\r\n Sequence: " + sequence.SequenceName + "\r\n Sequence length: " + sequenceLength + "\r\n Segment size: " + segmentSize + "\r\n";
                    for (int i = 0; i < probabilities.Count(); i++)
                    {
                        s += probabilities.ElementAt(i) + ",";
                    }
                    OutStreamer os = new OutStreamer("omc.txt", FileOpenMode.RewriteMode);

                    os.StringToFile(s);
                    if (saveFileDialogExperiment.ShowDialog() == DialogResult.OK)
                    {
                        StreamReader f   = File.OpenText("omc.txt");
                        string       Buf = f.ReadToEnd();
                        StreamWriter sw  = new StreamWriter(File.Create(saveFileDialogExperiment.FileName));
                        sw.Write(Buf);
                        sw.Close();
                        f.Close();
                    }
                }
                else
                {
                    MessageBox.Show("Модель некорректна");
                }
            }
            else
            {
                MessageBox.Show("Не все параметры заданы");
            }
        }
示例#3
0
        public void StartGenerator(int count, Mode mode, PRNGMode rngMode) //будет вызываться от созданного экземпляра и запускать процесс генерации последовательности наблюдений
        {
            int n            = A.GetLength(0);
            int state_number = ProbabilityMethod(Pi, rngMode);

            double[] Farr          = ProbabilityFromDistribution(F[state_number]);
            int      period_length = F[state_number][ProbabilityMethod(Farr, rngMode)].value;

            int stop = (count - period_length >= 0) ? period_length : count;

            if (File.Exists("res.txt"))
            {
                File.Delete("res.txt");
            }
            if (mode == HSMPQApplication.Mode.Test)
            {
                if (File.Exists("sost.txt"))
                {
                    File.Delete("sost.txt");
                }
                if (File.Exists("sostdur.txt"))
                {
                    File.Delete("sostdur.txt");                            //тут будут пары (состояние длительность)
                }
            }
            PQN_Method(state_number, period_length, stop, mode, rngMode);
            OutStreamer OutStream = new OutStreamer("sostdur.txt");

            OutStream.StringToFile(state_number + ";" + period_length);
            for (int counter = period_length; counter < count; counter++)// counter = period_length
            {
                double[] StolbecP = new double[n];
                StolbecP     = MatrToArr(A, state_number);
                state_number = ProbabilityMethod(StolbecP, rngMode);

                Farr          = ProbabilityFromDistribution(F[state_number]);
                period_length = F[state_number][ProbabilityMethod(Farr, rngMode)].value;
                stop          = (count - period_length - counter >= 0) ? period_length : count - counter;
                OutStream     = new OutStreamer("sostdur.txt");
                OutStream.StringToFile(state_number + ";" + period_length);
                PQN_Method(state_number, period_length, stop, mode, rngMode);
                counter += period_length - 1;
            }
        }