Class %DeepSee.PMML.Model.NaiveBayes

abstract class %DeepSee.PMML.Model.NaiveBayes extends AbstractModel

Parameters	Properties	Methods	Queries	Indices	ForeignKeys	Triggers
3		5

Summary

Properties
Tracing

Methods
%AddToSaveSet	%ClassIsLatestVersion	%ClassName	%ConstructClone
%DispatchClassMethod	%DispatchGetModified	%DispatchGetProperty	%DispatchMethod
%DispatchSetModified	%DispatchSetMultidimProperty	%DispatchSetProperty	%ExecuteModel
%ExecuteModelDeepSee	%Extends	%Factorial	%GetDataClassName
%GetInputClassName	%GetInputObject	%GetName	%GetOutputClassName
%GetParameter	%GetPredictedField	%GetPredictedFieldInfo	%IsA
%IsModified	%New	%NormalizeObject	%ObjectModified
%OriginalNamespace	%PackageName	%RemoveFromSaveSet	%SerializeObject
%SetModified	%ValidateObject	GetLikelihoods

Parameters

• parameter THRESHOLD;

• parameter TRACEWEIGHTTYPE = "multiply";

How the weighting info in this models trace output needs to be interpreted. Either of:

"none": only rank info available

"tree": trace info is a sequence of tree nodes leading to the prediction

"add": additive contributions (total score might be a function of this sum)

"multiply": multiplicative contributions (total score might be a function of this product)

Methods

• classmethod %Factorial(input As %Integer) as %Integer

• method GetLikelihoods(ByRef pObservation, Output pLikelihoods) as %Status

Output: pLikelihoods(tOutputValue) = likelihood


[USER] > [%DeepSee] > [PMML] > [Model] > [NaiveBayes]		Private Storage