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);
}
}
