IMsGreyForecastTransform.ConfidenceLevel

Syntax

ConfidenceLevel: Double;

Description

The ConfidenceLevel property determines the confidence limits relevance. The property is set to 0.95 by default.

Example

Executing the example requires that the repository contains a modeling container with the KONT_MODEL identifier. The container contains the Var_1 variable that will be used as an output one.

Sub UserProc;
Var
    MB: IMetabase;
    CrInf: IMetabaseObjectCreateInfo;
    MObj: IMetabaseObject;
    Model: IMsModel;
    Trans: IMsFormulaTransform;
    Varr: IMsVariableStub;
    VarTrans: IMsFormulaTransformVariable;
    Tree: IMsFormulaTransformSlicesTree;
    Slice: IMsFormulaTransformSlice;
    Selector: IMsFormulaTransformSelector;
    Formula: IMsFormula;
    Grey: IMsGreyForecastTransform;
Begin
    MB := MetabaseClass.Active;
    CrInf := Mb.CreateCreateInfo;
    CrInf.ClassId := MetabaseObjectClass.KE_CLASS_MSMODEL;
    CrInf.Id := "New_Grey";
    CrInf.Name := "New_Grey";
    CrInf.Parent := Mb.ItemById("KONT_MODEL");
    CrInf.Permanent := False;
    MObj := Mb.CreateObject(CrInf).Edit;
    Model := MObj As IMsModel;
    Trans := Model.Transform;
    Varr := MB.ItemByIdNamespace("Var_1", MB.ItemById("KONT_MODEL").Key).Bind As IMsVariableStub;
    Trans.Outputs.Add(Varr);
    VarTrans := Trans.Outputs.Item(0);
    Tree := VarTrans.SlicesTree(VarTrans);
    Slice := Tree.CreateSlice(1);
    Selector := Model.Transform.CreateSelector;
    Selector.Slice := Slice;
    Formula := Model.Transform.Transform(Selector);
    Formula.Kind := MsFormulaKind.GreyForecast;
    Grey := Formula.Method As IMsGreyForecastTransform;
    Grey.ConfidenceLevel := 0.99;
    MObj.Save;
End Sub UserProc;

After executing the example a model is created in the modeling container. The Grey forecast is used for model calculation. The value 0.99 is set for confidence limits relevance level.

See also:

IMsGreyForecastTransform