Set the predicates used as features by the ibi™ Patterns - Search Learn Model.
Namespace: NetricsServerInterface
Assembly: NetricsServerInterface (in NetricsServerInterface.dll)
Syntax
| Visual Basic (Declaration) |
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| Public Sub setRlPreds( _ ByVal preds As NetricsPredicate() _ ) |
| C# |
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| public void setRlPreds( NetricsPredicate[] preds ) |
| C++ |
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| public: void setRlPreds( array<NetricsPredicate>^ preds ) sealed |
| J# |
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| public void setRlPreds( NetricsPredicate[] preds ) |
| JScript |
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| public
function setRlPreds( preds : NetricsPredicate[] ) |
Remarks
You should only use this method with the help of your ibi technical support representative.
It is often useful to specify features in a Learn Model using a strict 1.0/0.0 scoring. ibi™ Patterns - Search inexact matching technology is therfore inappropriate for this. Instead, you should use NetricsPredicates to specify strict conditions constructed from the fields of the query and table. If the predicate evaluates to true, the feature score will equal 1.0. Otherwise it will equal 0.0. For instance, this would be used if you wanted a feature to indicate that the gender of the query record is the same as that of the table record.