private void DoUninamePeriodMethod()
{
int snum = 1;
List<Sample> samples = DataInputPoints.Select(s => new Sample() { Time = snum++, Value = s.Value }).ToList();
UninamePeriodMethod upm = new UninamePeriodMethod(samples, NumOfPhases, SelectedRegressionMethod);
List<TrendPoint> trendPoints = new List<TrendPoint>();
for(int i = PredictionStartVal; i <= PredictionEndVal; i++)
{
trendPoints.Add(new TrendPoint() { Time = i, Value = upm.Predict(i) });
}
DataTrendPoints = new ObservableCollection<TrendPoint>(trendPoints);
UpdateStatistics(upm);
}
static void UninameMethodTest()
{
var samples = new List<Sample>( );
samples.Add(new Sample() { Time = 1, Value = 1 });
samples.Add(new Sample() { Time = 2, Value = 5 });
samples.Add(new Sample() { Time = 3, Value = 2 });
samples.Add(new Sample() { Time = 4, Value = 4 });
samples.Add(new Sample() { Time = 5, Value = 3 });
samples.Add(new Sample() { Time = 6, Value = 3 });
samples.Add(new Sample() { Time = 7, Value = 4 });
samples.Add(new Sample() { Time = 8, Value = 2 });
samples.Add(new Sample() { Time = 9, Value = 5 });
UninamePeriodMethod upm = new UninamePeriodMethod(samples, 2, new LinearRegression());
var model1 = upm.GetModel(0);
var model2 = upm.GetModel(1);
Console.ReadKey();
}
