/// <summary>
/// Calculate Dispersion all parameters
/// </summary>
private void CalculateDispersion()
{
int countElements = 10;
Dictionary <int, decimal> mathematicalExpectation = new Dictionary <int, decimal>();
Dictionary <int, decimal> dispersion = new Dictionary <int, decimal>();
Dictionary <int, decimal> bestValues = new Dictionary <int, decimal>();
ProcessingData.MathematicalExpectation(TrainData.Train, mathematicalExpectation);
ProcessingData.Dispersion(TrainData.Train, mathematicalExpectation, dispersion);
List <FisherCritery> elements = new List <FisherCritery>();
foreach (var @decimal in dispersion)
{
elements.Add(new FisherCritery(@decimal.Key, @decimal.Value));
}
ListOfElements dispoersionElements = new ListOfElements(elements);
dispoersionElements.InsertionSort();
for (int i = 0; i < countElements; i++)
{
bestValues.Add(dispoersionElements.Fisher[i].Key, dispoersionElements.Fisher[i].Value);
}
this.chart2.Series.Clear();
this.chart2.Titles.Clear();
this.chart2.ChartAreas[0].AxisY.Maximum = Math.Round(Convert.ToDouble(bestValues.First().Value), 0) + 25;
this.chart2.ChartAreas[0].AxisY.Minimum = Math.Round(Convert.ToDouble(bestValues.Last().Value), 0) - 25;
// Set palette.
this.chart2.Palette = ChartColorPalette.SeaGreen;
// Set title.
this.chart2.Titles.Add("Deviation");
double numberOfParameters = 1.0;
foreach (var item in bestValues)
{
// Add series.
Series series = this.chart2.Series.Add(XMLWork.FindNameWithID(item.Key, Properties.Settings.Default.Languages));
// Add point.
//series.Points.Add(Convert.ToDouble(item.Value));
series.Points.AddXY(numberOfParameters, item.Value);
numberOfParameters += 0.1;
}
// Add series.
}
/// <summary>
/// Implement FisherCritery
/// </summary>
private void FisherCritery()
{
if (parameterCondition.Items.Count != 0)
{
int countElements = 10;
List <OneRow> trainData = TrainData.Train;
Dictionary <int, decimal> bestValues = new Dictionary <int, decimal>();
List <FisherCritery> fishers = new List <FisherCritery>();
try
{
int parameterID = XMLWork.FindIDWithName((string)parameterCondition.SelectedItem, Properties.Settings.Default.Languages);
decimal averageY = AverageOutput(trainData, parameterID);
//Fisher Critery
foreach (var item in trainData[0].Input)
{
Fisher fisher = new Fisher(trainData, item.Key, parameterID, averageY);
fisher.CalculateFisher();
fishers.Add(new FisherCritery(item.Key, fisher.Critery));
}
//Sort of data
ListOfElements fisherElements = new ListOfElements(fishers);
fisherElements.InsertionSort();
//Give Best Value
for (int i = 0; i < countElements; i++)
{
bestValues.Add(fisherElements.Fisher[i].Key, fisherElements.Fisher[i].Value);
}
//Clear Palette
this.chart1.Series.Clear();
this.chart1.Titles.Clear();
this.chart1.ChartAreas[0].AxisY.Maximum = Math.Round(Convert.ToDouble(bestValues.First().Value), 0) + 25;
this.chart1.ChartAreas[0].AxisY.Minimum = Math.Round(Convert.ToDouble(bestValues.Last().Value), 0) - 25;
// Set palette.
this.chart1.Palette = ChartColorPalette.SeaGreen;
// Set title.
this.chart1.Titles.Add("Critery F-Test");
double numberOfParameters = 1.0;
foreach (var item in bestValues)
{
// Add series.
Series series = this.chart1.Series.Add(XMLWork.FindNameWithID(item.Key, Properties.Settings.Default.Languages));
// Add point.
//series.Points.Add(Convert.ToDouble(item.Value));
series.Points.AddXY(numberOfParameters, item.Value);
numberOfParameters += 0.1;
}
}
catch (InvalidOperationException ex)
{
MessageBox.Show(Localization.MyStrings.SelectCriterion);
}
catch (Exception excep)
{
MessageBox.Show(excep.ToString());
}
}
else
{
MessageBox.Show(Localization.MyStrings.WithoutDefect);
}
// Add series.
}
