/*public static void PlotValues(Solution currentBestSolution) {
* // Console.WriteLine(CurrentBestSolution.Variable);
* var wrap = new XReal(currentBestSolution);
* var values = new double[wrap.Size()];
*
* for (var i = 0; i < wrap.Size(); i++)
* {
* values[i] = wrap.GetValue(i);
* }
* PlotValues(values, "CurrentBest");
*
* }*/
public static void PlotValues(string name, string imagepath, double adjust, Distribution.DistributionType type)
{
try
{
if (!StoredValues.Contains(name))
{
//throw new ArgumentNullException("Values not found: " + name);
}
var color = "red";
if (type == Distribution.DistributionType.Variant)
{
color = "blue";
}
if (type == Distribution.DistributionType.Feature)
{
color = "green";
}
Engine.Evaluate($"featureDist <- data.frame({name})");
Engine.Evaluate($"plot <- ggplot(data=featureDist, aes({name})) + geom_density(fill='{color}', alpha=0.3, adjust=0.5)" + LegendNoFill + PanelGrid + DensityPercent);
Engine.Evaluate($"ggsave(plot=plot, file='{imagepath.Replace('\\','/')}', width=7, height=5)");
}
catch (Exception e)
{
Console.WriteLine(e);
}
}
public UniformDistGen(Thor model, Distribution.DistributionType Type)
{
this.model = model;
this.Type = Type;
InitializeComponent();
if (!double.IsNaN(model.Setting.UnifMin))
{
textBox1.Text = model.Setting.UnifMin.ToString();
}
if (!double.IsNaN(model.Setting.UnifMax))
{
textBox2.Text = model.Setting.UnifMax.ToString();
}
}
public NormalDistGen(Thor Model, Distribution.DistributionType type)
{
InitializeComponent();
this.Model = Model;
this.Type = type;
if (!double.IsNaN(Model.Setting.Mean))
{
textBox1.Text = Model.Setting.Mean.ToString();
}
if (!double.IsNaN(Model.Setting.StandardDeviation))
{
textBox2.Text = Model.Setting.StandardDeviation.ToString();
}
}
/// <summary>
/// Checks if a probability function was selected
/// </summary>
/// <param name="selected"></param>
/// <param name="type"></param>
/// <returns></returns>
private bool CheckForRandomFunction(object selected, Distribution.DistributionType type)
{
switch (((Distribution)selected).DisplayName)
{
case "Normal":
var normal = new NormalDistGen(_model, type);
normal.ShowDialog();
return(true);
case "Uniform":
var unif = new UniformDistGen(_model, type);
unif.ShowDialog();
return(true);
default:
return(false);
}
}
public void WriteDistributionToFile(Distribution.DistributionType type)
{
string fileName = "";
Distribution toWrite = null;
if (type == Distribution.DistributionType.Feature)
{
fileName = "scaledFeatures.txt";
toWrite = SelectedFeatureDistribution;
}
if (type == Distribution.DistributionType.Interaction)
{
fileName = "scaledInteractions.txt";
toWrite = SelectedInteractionDistribution;
}
if (type == Distribution.DistributionType.Variant)
{
fileName = "scaledVariants.txt";
toWrite = SelectedTargetDistribution;
}
if (toWrite == null)
{
return;
}
File.WriteAllText(fileName, string.Empty);
using (var sw = File.AppendText(fileName))
{
sw.WriteLine(toWrite.DisplayName);
sw.WriteLine(toWrite.Name);
sw.WriteLine(toWrite.DistType);
for (var i = 0; i < toWrite.Values.Length - 1; i++)
{
sw.Write(toWrite.Values[i] + ", ");
}
sw.WriteLine(toWrite.Values[toWrite.Values.Length - 1]);
}
}
