Forecast(Forecast: IMsForecast; Period: IMsPeriod): Variant;
Forecast. Forecasting series.
Period. Data forecasting period.
The Forecast method returns forecasting values for the specified series.
To get a modeling series, use the IModelling.Fitted method.
Executing the example requires that the repository contains a modeling container with the MS identifier. This container includes a model with the MODEL_D identifier that is calculated by the determinate equation method and contains at least one input variable.
Add links to the Metabase and Ms system assemblies.
Sub UserProc;
Var
Mb: IMetabase;
ModelSpace, ModelObj: IMetabaseObject;
Transf: IMsFormulaTransform;
Formula: IMsFormula;
Model: IMsModel;
Determ: IMsDeterministicTransform;
TransVar: IMsFormulaTransformVariable;
Slice: IMsFormulaTransformSlice;
TermInfo: IMsFormulaTermInfo;
Expr: IExpression;
Begin
// Get repository
Mb := MetabaseClass.Active;
// Get modeling container
ModelSpace := Mb.ItemById("MS").Bind;
// Get the model
ModelObj := Mb.ItemByIdNamespace("MODEL_D", ModelSpace.Key).Edit;
Model := ModelObj As IMsModel;
// Get model calculation parameters
Transf := Model.Transform;
Formula := Transf.FormulaItem(0);
Determ := Formula.Method As IMsDeterministicTransform;
// Get the first input variable
TransVar := Transf.Inputs.Item(0);
Slice := TransVar.Slices.Item(0);
TermInfo := Transf.CreateTermInfo;
TermInfo.Slice := Slice;
// Set mode of passing variable into calculation
TermInfo.Type := MsFormulaTermType.Pointwise;
// Get model calculation expression
Expr := Determ.Expression;
Expr.References := "Ms";
// Set model calculation expression
Expr.AsString := "Forecast(Arima(" + TermInfo.TermInnerText +
", Null, """ + "" + """, """ + "1" + """, 0, Estimate), SetPeriod(" +
"""" + "01.01.2010" + """" + "," + """" + "01.01.2015" + """" +
"))";
// Check if the expression is correct
If Expr.Valid
// If the expression is set correctly, save the model
Then ModelObj.Save;
// If the expression is incorrect, display a message to the console window
Else Debug.WriteLine("Model is not saved: error in the formula");
End If;
End Sub UserProc;
After executing the example the model will return forecasting values for the period from 2010 to 2015 for the ARIMA method.
Expression 1:
Forecast(Arima({GDP|Anchorage[t]}, Null, "", "1", 0, Estimate), SetPeriod("01.01.2010", "01.01.2015"))
Result: forecasting values will be obtained for the period from 2010 to 2015 for the ARIMA model.
Use: it can be used in formulas of cross functional expression editor in any platform tool where it is available.
Expression 2:
Forecast(Arima(X1, Null, "", "1", 0, Estimate), SetPeriod("01.01.2010", "01.01.2015"))
Result: forecasting values will be obtained for the period from 2010 to 2015 for the ARIMA model.
Use: it can be used in model formulas of modeling container based on variables.
See also: