/// <summary>
/// Generates the most probable prédiction first parameters
/// </summary>
private void GenerateFirstPredictionParameters()
{
/// Determining the number of parameters to draw
int nbParam = (int)Math.Round(predictionSystem.GetNbParameters() * 0.5) + 1;
int i = 0;
foreach (var item in predictionSystem.Result.Results[0].Predictions)
{
/// TODO : Change this to use resources
Image img = UIFactory.CreatePredictionIcon(ImagePaths.GetImagePathForParameter(item));
///
TextBlock text = UIFactory.CreatePredictionText(StringFormater.GetParameterValue(item));
WrapPanel panel = UIFactory.CreatePredictionWrapPanel(img, text, Orientation.Vertical);
firstPrediction.Children.Add(panel);
panel.BeginAnimation(OpacityProperty, animation);
i++;
if (i >= nbParam)
{
break;
}
}
}
public static StackPanel Prediction(Result item, int mode)
{
/// a container for the parameters that stacks them horizontaly
StackPanel parametres = UIFactory.ParametersPanel();
foreach (var param in item.Predictions)
{
///TODO : change this to use resources
parametres.Children.Add(UIFactory.GeneratePredictionWrapPanel(mode, ImagePaths.GetImagePathForParameter(param), param.ParamKey, StringFormater.GetParameterValue(param), (Math.Round(param.StandardDeviation, 2)).ToString("00"), (Math.Abs(Math.Round(param.StandardDeviation, 2))).ToString()));
}
/// a container for the image of the outlook
StackPanel outlookPanel = new StackPanel()
{
Orientation = Orientation.Horizontal,
};
/// TODO : change this to use resources
Image outlook = UIFactory.PredictionOutlookImage(item);
///------------------
outlookPanel.Children.Add(outlook);
/// This is the probability text
TextBlock probability = UIFactory.Probabilityblock(item, mode);
/// a container for the whole prediction element
StackPanel prediction = new StackPanel()
{
Orientation = Orientation.Horizontal,
Width = double.NaN
,
Margin = new System.Windows.Thickness(0, 2, 0, 2)
};
/// creating the prediction
prediction.Children.Add(outlookPanel);
prediction.Children.Add(parametres);
prediction.Children.Add(probability);
return(prediction);
}
