Class %DeepSee.PMML.ModelOutput

abstract serial class %DeepSee.PMML.ModelOutput extends %SerialObject

Parameters	Properties	Methods	Queries	Indices	ForeignKeys	Triggers
		4

Summary

Methods
%AddToSaveSet	%AddToSyncSet	%ClassIsLatestVersion	%ClassName
%ConstructClone	%Delete	%DeleteId	%DispatchClassMethod
%DispatchGetModified	%DispatchGetProperty	%DispatchMethod	%DispatchSetModified
%DispatchSetMultidimProperty	%DispatchSetProperty	%Extends	%GetFeatureValue
%GetFields	%GetParameter	%GetSwizzleObject	%GetTracingInfo
%IsA	%IsModified	%IsNull	%New
%NormalizeObject	%ObjectIsNull	%ObjectModified	%OnBeforeAddToSync
%OnDetermineClass	%Open	%OpenId	%OriginalNamespace
%PackageName	%RemoveFromSaveSet	%ResolveConcurrencyConflict	%SerializeObject
%SetModified	%SyncObjectIn	%SyncTransport	%ValidateObject
LogicalToOdbc	OdbcToLogical

Methods

• method %GetFeatureValue(pFeature As %String = "predictedValue", pTargetField As %String = "", Output pAllValues) as %String

Returns the feature value of predicted field pTargetField. If pTargetField is left blank, the feature value for the "last" field is returned (generally safe for models predicting a single field value). Note that pTargetField is the name of the field in the data class, not in this output class. pAllValues contains the feature values for all fields, indexed by field name

• abstract classmethod %GetFields(Output pFields) as %Status

pArray(fieldName) = $lb(feature, targetFieldName, displayName)

• method %GetTracingInfo(Output pTrace) as %Status

Returns tracing information (if available) about the contribution of the input values to the model's outcome. Format: pTrace(n) = $lb($lb(inputs), $lb(values), rank, [weight], [info])

Class Reference IRIS for UNIX 2024.1.2
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