Class %iKnow.Classification.Methods.naiveBayes

deprecatedclass %iKnow.Classification.Methods.naiveBayes extends Base

This classification method relies on the Naive Bayes theorem to calculate the probability a document belongs to a category based on probability scores for the individual terms.

Given this probability-based approach, the document vector local weights and normalization settings are fixed at "binary" and "none" respectively.

Inventory

Parameters	Properties	Methods	Queries	Indices	ForeignKeys	Triggers
		1

Summary

Properties
Builder

Methods
%AddToSaveSet	%BuildClassificationMethod	%ClassIsLatestVersion	%ClassName
%ConstructClone	%DispatchClassMethod	%DispatchGetModified	%DispatchGetProperty
%DispatchMethod	%DispatchSetModified	%DispatchSetMultidimProperty	%DispatchSetProperty
%Extends	%GetParameter	%IsA	%IsModified
%LoadFromModel	%New	%NormalizeObject	%ObjectModified
%OnNew	%OnRemoveTerm	%OriginalNamespace	%PackageName
%RemoveFromSaveSet	%SerializeObject	%SetModified	%ValidateObject

Methods

• method %BuildClassificationMethod(ByRef pClassifier As %iKnow.Classification.Definition.Classifier, pVerbose As %Boolean = 1, pIncludeBuilderParams As %Boolean = 1) as %Status

Class Reference IRIS for UNIX 2024.1.2
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