public PredictorSettings ReadPredictorSettings()
{
return(new PredictorSettings
{
Predictor = PredictorFactory.GetPredictor((Predictor)bitReader.ReadNBits(4)),
AcceptedError = (int)bitReader.ReadNBits(4)
});
}
private IPredictorable CreatePredicator(int i)
{
return(PredictorFactory.CreatePredictor(ballsDirections[balls[i].Name]));
}
private void button3_Click(object sender, EventArgs e)
{
bar.ChartAreas.Clear();
bar.ChartAreas.Add(new ChartArea("Time series"));
Series series = new Series("Original");
series.ChartType = SeriesChartType.Line;
for (int i = 0; i < samsungValues.Count; i++)
{
series.Points.AddXY(samsungValues[i].Date, samsungValues[i].Value);
}
int option = comboBox1.SelectedIndex;
PredictorFactory predictorFactory = null;
switch (option)
{
case 0:
predictorFactory = new PredictorFactory(PredictorTypes.MA);
break;
case 1:
predictorFactory = new PredictorFactory(PredictorTypes.ARMA);
break;
case 2:
predictorFactory = new PredictorFactory(PredictorTypes.SSA);
break;
}
Series estimation = new Series("Estimated");
estimation.ChartType = SeriesChartType.Line;
List <Double?> predictedValues = new List <Double?>();
int accuracy = 10;
if (predictorFactory.Type == PredictorTypes.MA)
{
List <Double> predictedValues1 = new List <double>();
for (int i = 0; i < samsungValues.Count; i++)
{
predictedValues1.Add(samsungValues[i].Value);
}
List <Double> copy = MAPredictor.PredictList(predictedValues1, accuracy);
for (int i = 0; i < samsungValues.Count; i++)
{
estimation.Points.AddXY(samsungValues[i].Date, copy[i]);
}
}
else if (predictorFactory.Type == PredictorTypes.ARMA)
{
List <Double> copy = new List <Double>();
for (int i = 0; i < samsungValues.Count; i++)
{
copy.Add(samsungValues[i].Value);
}
List <Double> prediction = ARMAPredictor.PredictList(copy, accuracy);
for (int i = 0; i < samsungValues.Count; i++)
{
estimation.Points.AddXY(samsungValues[i].Date, prediction[i]);
}
}
else if (predictorFactory.Type == PredictorTypes.SSA)
{
List <Double> temp = new List <Double>();
for (int i = 0; i < samsungValues.Count; i++)
{
temp.Add(samsungValues[i].Value);
}
List <double> predictedValues1 = SSAPredictor.PredictList(temp, 10);
for (int i = 0; i < samsungValues.Count; i++)
{
estimation.Points.AddXY(samsungValues[i].Date, predictedValues1[i]);
}
}
bar.ChartAreas[0].AxisY.Minimum = 970;
bar.Series.Clear();
bar.Series.Add(series);
bar.Series.Add(estimation);
}
