Combine(Forecast: IMsForecast; Period: IMsPeriod): Variant;
Combine(Forecast: Prognoz.Platform.Interop.Ms.IMsForecast; Period: Prognoz.Platform.Interop.Ms.IMsPeriod): object;
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, returned series includes 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. A model with the MODEL_D identifier calculated by the method of determinate equation and containing at least one input variable must be available in this container.
Add links to the Metabase, 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 returns a series containing source series data at sample period and containing forecasting series data at specified forecasting period for the ARIMA method.
The requirements and result of the Fore.NET example execution match with those in the Fore example.
Imports Prognoz.Platform.Interop.ForeSystem;
Imports Prognoz.Platform.Interop.Ms;
…
Public Shared Sub Main(Params: StartParams);
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 := Params.Metabase;
// 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.mfttPointwise;
// 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 System.Diagnostics.Debug.WriteLine("Model is not saved: error in the formula");
End If;
End Sub;
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 calculated series of time series database and in formulas of attribute-based models of modeling container.
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 variable-based formulas of modeling container.
See also: