// import dataset into data frame
private void btnImportData_Click(object sender, EventArgs e)
{
try
{
if (string.IsNullOrEmpty(textBox3.Text))
{
MessageBox.Show("No file is selected!");
return;
}
var colDelimiter = GetColumDelimiter();
//define the row
//string[] rows = originData.Split(Environment.NewLine.ToArray(), StringSplitOptions.RemoveEmptyEntries);
this.Cursor = Cursors.WaitCursor;
var result = ANNDataSet.prepareData(originLines, colDelimiter, firstRowHeaderCheck.Checked, radioButton1.Checked);
Header = result.header;
Data = result.data;
}
catch (Exception ex)
{
reportException(ex);
}
finally
{
this.Cursor = Cursors.Arrow;
}
}
//import data as time series
private void button4_Click(object sender, EventArgs e)
{
try
{
if (string.IsNullOrEmpty(textBox3.Text))
{
MessageBox.Show("No file is selected!");
return;
}
var colDelimiter = GetColumDelimiter();
if (numCtrlNumForTest.Value < 1 && numCtrlNumForTest.Value > originData.Length)
{
MessageBox.Show("Invalid number of time leg. PLease specify the time leg between 1 and row number.");
return;
}
if (string.IsNullOrEmpty(originData))
{
return;
}
//
//define the row
string[] tdata = originData.Split(Environment.NewLine.ToArray(), StringSplitOptions.RemoveEmptyEntries);
//transform the time series into data frame
string[] prepData = prepareTimeSeriesData(tdata, (int)numCtrlNumForTest.Value);
//prepare data for loading
var result = ANNDataSet.prepareData(prepData, new char[] { ';' }, checkBox1.Checked, radioButton1.Checked);
Header = result.header;
Data = result.data;
}
catch (Exception ex)
{
reportException(ex);
}
}
private void button2_Click(object sender, EventArgs e)
{
try
{
if (string.IsNullOrEmpty(textBox3.Text))
{
MessageBox.Show("No file is selected!");
return;
}
var colDelimiter = GetColumDelimiter();
//define the row
string[] rows = originData.Split(Environment.NewLine.ToArray(), StringSplitOptions.RemoveEmptyEntries);
var result = ANNDataSet.prepareData(rows, colDelimiter, checkBox1.Checked, radioButton1.Checked);
Header = result.header;
Data = result.data;
}
catch (Exception ex)
{
reportException(ex);
}
}
//initialize project controllers with project information
internal void Initproject(string projectPath)
{
try
{
var fi = new FileInfo(projectPath);
if (!fi.Exists)
{
throw new Exception("Project File not found!");
}
//load project information from file
var dicData = Project.LoadProjectData(projectPath);
//load project info
Settings = Project.CreateProjectSettings(dicData["project"]);
Settings.ProjectFolder = fi.Directory.FullName;
Settings.ProjectFile = fi.Name;
//
Name = Project.GetParameterValue(dicData["project"], "Name");
//check which type the project is
var strType = Project.GetParameterValue(dicData["project"], "Type");
if (string.IsNullOrEmpty(strType))
{
Type = ProjectType.Default;
}
else
{
Type = (ProjectType)Enum.Parse(typeof(ProjectType), strType, true);
}
var prData = dicData["data"].Split(new char[] { '|' }, StringSplitOptions.RemoveEmptyEntries);
var dataPath = Project.GetParameterValue(prData, "RawData");
var filePath = "";
if (!string.IsNullOrEmpty(dataPath))
{
filePath = Path.Combine(Settings.ProjectFolder, Name, dataPath);
}
else
{
filePath = Name + "_rawdata.txt";
}
//create dataset
var ds = new ANNDataSet();
ds.InitMetaColumn(prData.Where(x => x.StartsWith("Column")).OrderBy(x => x));
var parser = Project.CreateDataParser(dicData["parser"]);
//check if raw data file exists
fi = new FileInfo(filePath);
if (fi.Exists)
{
//column separator is always ;
var result = ANNDataSet.prepareData(File.ReadAllLines(filePath), parser.ColumnSeparator, parser.FirstRowHeader);
ds.Data = result.data;
ds.IsPrecentige = Settings.PrecentigeSplit;
ds.TestRows = Settings.ValidationSetCount;
DataSet = ds;
}
//load existing mlconfigs
var models = Project.GetMLConfigs(dicData["project"]);
foreach (var model in models)
{
var m = new MLConfigController(activeModelChanged);
m.Settings = Settings;
//
m.Name = model;
Models.Add(m);
}
}
catch (Exception)
{
throw;
}
}