IMsBinaryRegressionTransform.ForecastTermSet

Syntax

Description

The ForecastTermSet property returns a set of series, to which forecasting data is loaded on modeling problem calculation.

Comments

The set size must be equal to the size of the explained variable set IMsBinaryRegressionTransform.Explained.

Example

Executing the example requires that the repository contains a modeling container with the CONT_MODEL identifier. The container contains a model with the BINREG identifier that uses the binary regression method for calculation. The size of model explanatory variable size is equal to one. This container also includes the FORECAST variable.

Add links to the Metabase, Ms, Stat system assemblies.

Sub UserProc;
Var
    MB: IMetabase;
    SpaceDescr: IMetabaseObjectDescriptor;
    MObj: IMetabaseObject;
    Model: IMsModel;
    Trans: IMsFormulaTransform;
    VarTrans: IMsFormulaTransformVariable;
    Tree: IMsFormulaTransformSlicesTree;
    Slice: IMsFormulaTransformSlice;
    Selector: IMsFormulaTransformSelector;
    Formula: IMsFormula;
    Binary: IMsBinaryRegressionTransform;
    Var_out: IMsVariable;
    pF_out: IMsFormulaTransformVariable;
Begin
    MB := MetabaseClass.Active;
    SpaceDescr := mb.ItemById("CONT_MODEL");
    MObj := MB.ItemByIdNamespace("BinReg", SpaceDescr.Key).Edit;
    Model := MObj As IMsModel;
    Trans := Model.Transform;
    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);
    Binary := Formula.Method As IMsBinaryRegressionTransform;
    // Determine variable for loading forecasting data
    Var_out := mb.ItemByIdNamespace("FORECAST", SpaceDescr.Key).Bind As IMsVariable;
    pF_out := Trans.Outputs.Add(Var_out As IVariableStub);
    Binary.ForecastTermSet.Clear;
    Binary.ForecastTermSet.Add(pF_out.Slices.Add(Null));
    MObj.Save;
End Sub;

After executing the example the forecasting data is loaded to the FORECAST variable on problem calculation.