static void Main(string[] args) { string fileName = @"E:\PROJECT\FINAL PROJECT\Other\Test\airpass.dat"; List <double> originSeries = new List <double>(); System.IO.StreamReader file = null; string line = null; try { file = new System.IO.StreamReader(fileName); while ((line = file.ReadLine()) != null) { originSeries.Add(Double.Parse(line)); } } catch (System.OutOfMemoryException outOfMemory) { originSeries = null; } ARIMA arima = new ARIMA(); arima.SetData(originSeries); arima.Run(); }
public void AutoRegression_Test01() { var lst = nc.GenerateIntSeries(1, 11, 1); //create series from the list var ser = new Series(lst); var ar = new ARIMA(); var coeff = ar.AR(ser, 2); Assert.Equal(new float[3] { 1.91f, 0.91f, 0.09f }, coeff.Select(x => Convert.ToSingle(Math.Round((double)x, 2)))); }
public void ARIMA_AR_Test01() { var df = DataFrame.FromCsv(filePath: $"../../../testdata/earth_quake.txt", sep: '\t', names: null, parseDate: false); var newDf = df.SetIndex("Year"); var ts = Series.FromDataFrame(newDf, "Quakes"); // DataFrame tsdf = ts.TSToDataFrame(lags: 3); var arima = new ARIMA(); var args = arima.AR(ts, 3); //MagmaSharp.LinAlg.Lss() }
public static void ARIMA_Test01() { var df = Daany.DataFrame.FromCsv(filePath: $"AirPassengers.csv", sep: ',', names: null, parseDate: false); //// var ts = df.ToSeries("#Passengers"); //create time series int p = 1; int d = 1; int q = 1; var model = new ARIMA(p, d, q); model.Fit(ts); }
static void Main(string[] args) { string fileName = @"E:\PROJECT\FINAL PROJECT\Other\Test\airpass.dat"; List<double> originSeries = new List<double>(); System.IO.StreamReader file = null; string line = null; try { file = new System.IO.StreamReader(fileName); while ((line = file.ReadLine()) != null) { originSeries.Add(Double.Parse(line)); } } catch (System.OutOfMemoryException outOfMemory) { originSeries = null; } ARIMA arima = new ARIMA(); arima.SetData(originSeries); arima.Run(); }
private void InitData() { _trainDataSeries = new List<double>(); _testDataSeries = new List<double>(); _dataForTest = new List<double>(); _dataForForecast = new List<double>(); modelType = ModelType.SARIMA_ANN; isReadTrainData = false; isReadTestData = false; ARIMAModel = new ARIMA(); NeuralModel = new Neural(); }
private void InitData() { _dataSeries = new List<double>(); _errorSeries = new List<double>(); ARIMAModel = new ARIMA(); NeuralModel = new Neural(); }
private void btnGetData_Click(object sender, EventArgs e) { _dataSeries = new List<double>(); System.IO.StreamReader file = null; string line = null; bool isFormatFileRight = true; int beginRow = Convert.ToInt32(this.txtTrainDataFromRow.Text); int endRow = Convert.ToInt32(this.txtTrainDataToRow.Text); int columnSelected = Convert.ToInt32(this.txtTrainDataColumn.Text); int idxRow = 0; try { file = new System.IO.StreamReader(m_TrainingDataFile); while ((line = file.ReadLine()) != null) { idxRow++; if (idxRow < beginRow || idxRow > endRow) continue; char[] delimiterChars = { ' ', ',' }; List<String> words = new List<string>(); words.AddRange(line.Split(delimiterChars)); words.RemoveAll(item => "" == item); if (columnSelected <= words.Count) { _dataSeries.Add(Double.Parse(words[columnSelected - 1])); } else { isFormatFileRight = false; break; } } if (!isFormatFileRight) { MessageBox.Show("Input is wrong format", null, MessageBoxButtons.OK, MessageBoxIcon.Error); _dataSeries = null; } } catch (System.OutOfMemoryException outOfMemory) { _dataSeries = null; MessageBox.Show("File does not found", null, MessageBoxButtons.OK, MessageBoxIcon.Error); } catch (System.IO.IOException io) { _dataSeries = null; MessageBox.Show("File does not found", null, MessageBoxButtons.OK, MessageBoxIcon.Error); } catch (System.Exception excp) { _dataSeries = null; MessageBox.Show("Input is wrong format", null, MessageBoxButtons.OK, MessageBoxIcon.Error); } finally { if (file != null) file.Close(); } if (_dataSeries != null) { SettingGetData(); ARIMAModel = new ARIMA(); NeuralModel = new Neural(); ARIMAModel.SetData(_dataSeries); } else { MessageBox.Show("Load data fail", null, MessageBoxButtons.OK, MessageBoxIcon.Error); } }