Class Reference
IRIS for UNIX 2024.1.2
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abstract class %DeepSee.PMML.Model.NaiveBayes extends AbstractModel

Inventory

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

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