Name: String;
Свойство Name возвращает идентификатор формы зависимости.
Sub Main;
Var
trend: SmCurveEstimation;
d0: Double;
status, i: Integer;
ar: Array Of Double;
Forms: IDependenceForms;
Begin
trend := New SmCurveEstimation.Create;
ar := New Double[25];
ar[00] := 4110;
ar[01] := 4280;
ar[02] := 4459;
ar[03] := 4545;
ar[04] := 4664;
ar[05] := 4861;
ar[06] := 5195;
ar[07] := 5389;
ar[08] := 5463;
ar[09] := 5610;
ar[10] := 5948;
ar[11] := 6218;
ar[12] := 6521;
ar[13] := 6788;
ar[14] := 7222;
ar[15] := 7486;
ar[16] := 7832;
ar[17] := 8153;
ar[18] := 8468;
ar[19] := 9054;
ar[20] := 9499;
ar[21] := 9866;
ar[22] := 10217;
ar[23] := 10763;
ar[24] := 10683;
trend.Explained.Value := ar;
trend.Explanatory.IsTrend := True;
trend.ModelPeriod.LastPoint := 20;
trend.ForecastLastPoint := 30;
trend.SeasonalComponent.Mode := SeasonalityType.additive;
trend.SeasonalComponent.Cycle := 4;
status := trend.Execute;
If status <> 0 Then
Debug.WriteLine(trend.Errors);
Else
Forms := trend.DependenceForms;
For i := 0 To Forms.Count - 1 Do
d0 := Forms.Item(i).CriterionValue;
Debug.WriteLine(Forms.Item(i).Name + ": " + d0.ToString);
End For;
End If;
End Sub Main;
После выполнения примера в окно консоли будут выведены значения критериев моделей:
Module execution started
Linear: 0.97313512972825955
Quadratic: 0.99853888260620427
Polynomial: 0.99862028141069126
Compound: 0.99520880118290378
Growth: 0.99520880118290367
Logarithmic: 0.75529244226569481
Hyperbolic: 0.43080296821708808
Exponential: 0.99520880118290367
Inverse: 0.38451027304459973
Power: 0.82612532656255189
Logistic: 0.18896590355019949
Module execution finished
См. также: