%iKnow.Classification.Methods.naiveBayes
deprecated class %iKnow.Classification.Methods.naiveBayes extends %iKnow.Classification.Methods.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.
Method Inventory
Methods
method %BuildClassificationMethod(ByRef pClassifier As %iKnow.Classification.Definition.Classifier, pVerbose As %Boolean = 1, pIncludeBuilderParams As %Boolean = 1) as %Status
Inherited Members
Inherited Properties
Inherited Methods
- %AddToSaveSet()
- %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()