LowerConfidenceLevelTermSet: IMsFormulaTermSet;
The property is read-only.
The LowerConfidenceLevelTermSet property returns a set of series, to which data of lower confidence limit is loaded on calculating problem.
NOTE. The dimension of the LowerConfidenceLevelTermSet set must be equal to the dimension of the explanatory variable set (IMsBinaryRegressionTransform.Explained).
To execute the example, the modeling container (CONT_MODEL) must contain a model (BinReg), that uses the binary regression method for calculation. The set dimension of model explanatory variable is equal to one. Also, the LOWER_CONF_LEVEL variable must be present in this container.
Sub Main;
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;
// Variable indication for input confidence limit data loading
Var_out := mb.ItemByIdNamespace("LOWER_CONF_LEVEL", SpaceDescr.Key).Bind As IMsVariable;
pF_out := Trans.Outputs.Add(Var_out As IVariableStub);
Binary.LowerConfidenceLevelTermSet.Clear;
Binary.LowerConfidenceLevelTermSet.Add(pF_out.Slices.Add(Null));
MObj.Save;
End Sub Main;
Example execution result: at calculation the data of low confidence limit is loaded to the LOWER_CONF_LEVEL variable.
See also: