private void fill_next_data()
{//append the next data points to the chart
for (int i = 0; i < next_data.Length; i++)
{
if (next_data[i] != null)
{
Next_Data.Add(new ObservablePoint(next_data[i].Item1, next_data[i].Item2));
}
}
}
private void Forecast_Click(object sender, RoutedEventArgs e)
{//calculate the predected data and show to the user
if (check_user_input(2))
{
//clear Next_Data if alredy have data inside
Next_Data.Clear();
//fill next data to the chart
fill_next_data();
//fill predicted data to the chart
Forecast_Calc_Fill();
}
}
private void Current_Data_btn_Click(object sender, RoutedEventArgs e)
{//show the user the current data we will use for forcasting from the hashtag file the user choose
if (check_user_input(1))
{
Popup.IsOpen = false;
//clear the charts if it has points alrady
Current_Data.Clear();
Next_Data.Clear();
Predicted_Data.Clear();
Negetive_Predicted_Data.Clear();
//create the arff data file from 90% of the current data from the hashtag that the user choose
//and save in arff.next_data an array with the next data point (the last 10% of the current data)
SignalToSignalArff arff = new SignalToSignalArff("D:\\Twist_DB\\hashtag_signal\\" + listBox.SelectedItem.ToString() + ".txt", data_precentage_split);
//fill the next data points to the next_data prop
if (arff.next_data != null)
{
next_data = new Tuple <double, double> [arff.next_data.Length];
next_data = arff.next_data;
}
//fixing chart prespective
Next_Data.Add(new ObservablePoint(0, 0));
Predicted_Data.Add(new ObservablePoint(0, 0));
Negetive_Predicted_Data.Add(new ObservablePoint(0, 0));
// path to the signal data - found in the project folder ..WekaForecasting\bin\Debug
String pathToData = ".\\Signal.arff";
// load the signal data
Instances data = new Instances(new java.io.BufferedReader(new java.io.FileReader(pathToData)));
//fill Current_Data series with the data from the hashtag file the user choose
for (int i = 0; i < data.numInstances(); i++)
{
Current_Data.Add(new ObservablePoint(data.instance(i).value(0), data.instance(i).value(1)));
}
}
}
