Combine(Forecast: IMsForecast; Period: IMsPeriod): Variant;
Forecast. Forecasting series.
Period. Data forecasting period.
The Combine method returns the series containing source series data for the sample period and forecasting series data for the forecasting period.
If sample and forecasting periods are intersected, forecasting data has higher priority. Thus, the returned series will include truncated date at sample period and full data at forecasting period.
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 := "Combine(Arima(" + TermInfo.TermInnerText +
", Default_, """ + "" + """, """ + "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 a series containing source series data at sample period and containing forecasting series data at specified forecasting period for the ARIMA method.
Expression 1:
Combine(Arima({GDP|Anchorage[t]}, Default_, "", "1", 0, Estimate), SetPeriod("01.01.2010", "01.01.2015"))
Result: the series containing source series data at sample period and containing forecasting series data at specified forecasting period will be obtained 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:
Combine(Arima(X1, Default_, "", "1", 0, Estimate), SetPeriod("01.01.2010", "01.01.2015"))
Result: the series containing source series data at sample period and containing forecasting series data at specified forecasting period will be obtained for the ARIMA model.
Use: it can be used in model formulas of modeling container based on variables.
See also: