private void btnAutomaticTrainingARIMA_Click(object sender, EventArgs e)
{
if (_dataSeries == null || _dataSeries.Count == 0)
{
MessageBox.Show("Please set data for training", null, MessageBoxButtons.OK, MessageBoxIcon.Error);
return;
}
ARIMAModel.SetData(_dataSeries);
ARIMAModel.AutomaticTraining();
ARIMAModel.GetErrorSeries(out _errorSeries);
NeuralModel.SetData(_errorSeries);
showARIMAModel();
SettingTrainARIMA();
radioBtnAutomaticARIMA.Checked = true;
}
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);
}
}