public static void GetAnaliticsMidle(CartesianChart cc, DataGrid dgv, double[] data, int x, int y, int number)
{
analitics = new PredictionM();
Drawer pen = new Drawer(cc);
var buffer_data = data.Skip(x).Take(y - x + 1);
int count = 0;
double[] buffer = new double[y - x + 1];
foreach (var item in buffer_data)
{
buffer[count] = Convert.ToDouble(item);
count++;
}
double[] arr_analitics = analitics.GetMAPrediction(buffer, number);
arr_data = arr_analitics;
List <Darbin> table = new List <Darbin>();
double error = 0;
double sum = 0;
for (int i = 0; i < buffer.Length; i++)
{
sum += (Math.Abs(buffer[i] - arr_analitics[i]) / buffer[i]) * 100;
}
error = sum / buffer.Length;
pen.DrawLinerChart(arr_analitics, x, "Аналитика");
table.Add(new Darbin {
N = "Средняя ошибка", D = Math.Round(error, 2)
});
dgv.ItemsSource = table;
}
public static void GetAnaliticsExp(CartesianChart cc, DataGrid dgv, double[] data, int x, int y, double error_need)
{
analitics = new PredictionM();
Drawer pen = new Drawer(cc);
var buffer_data = data.Skip(x).Take(y - x + 1);
int count = 0;
double[] buffer = new double[y - x + 1];
foreach (var item in buffer_data)
{
buffer[count] = Convert.ToDouble(item);
count++;
}
double alfa = 0.3;
double error = 0;
arr_analitics = analitics.GetExpPrediction(buffer, 0, alfa);
//do
//{
// double sum = 0;
// for (int i = 0; i < buffer.Length; i++)
// {
// sum += ((buffer[i] - arr_analitics[i])/ buffer[i]) * 100;
// }
// error = sum / buffer.Length;
// List<Darbin> table = new List<Darbin>();
// table.Add(new Darbin { N = alfa.ToString(), D = Math.Round(error, 2) });
// dgv.Items.Add(table);
// alfa += 0.1;
//} while (error > error_need);
pen.DrawLinerChart(arr_analitics, x, "Аналитика");
Darbins = PredictionUpdate.darbins;
}
public static void GetAnaliticsPoly(CartesianChart cc, DataGrid dgv, double[] data, int x, int y, bool darbin, string dn, string dv, string countG)
{
_x = x;
analitics = new PredictionM();
Drawer pen = new Drawer(cc);
var buffer_data = data.Skip(x).Take(y - x + 1);
int count = 0;
double[] buffer = new double[y - x + 1];
foreach (var item in buffer_data)
{
buffer[count] = Convert.ToDouble(item);
count++;
}
double[] arr_analitics = PredictionUpdate.Prediction(buffer.ToList(), 0, darbin, Convert.ToDouble(dn.Replace(".", ",")), Convert.ToDouble(dv.Replace(".", ",")), countG).ToArray();
pen.DrawLinerChart(arr_analitics, x, "Аналитика");
//List<Darbin> table = new List<Darbin>();
//for (int i = 0; i < analitics.darbi.Length; i++)
//{
// table.Add(new Darbin { N = (i + 1).ToString(), D = analitics.darbi[i] });
//}
double error = 0;
double sum = 0;
for (int i = 0; i < buffer.Length; i++)
{
sum += (Math.Abs(buffer[i] - arr_analitics[i]) / buffer[i]) * 100;
}
error = sum / buffer.Length;
//table.Add(new Darbin { N = "Средняя ошибка", D = Math.Round(error, 2) });
//dgv.ItemsSource = table;
Darbins = PredictionUpdate.darbins;
}