Unit
Classifier

Declaration
TClassesListItem = class(TPersistent)

Hierarchy
TPersistent <--TClassesListItem

Direct subclasses
TBClassesListItem TLClassesListItem

Description
This is an abstract class defined to manage data for a classification class. Each classification class holds a list of attributes (parameters) and the related statistics. The statistics is obtained during the learn run. This statistics is then used when comparing each class to the new (to be classified) example and computing the response of each class. The classification class with the strongest response wins.

Introduced Properties

	Enabled
	LearnedCases

Introduced Methods

	Classify
	ClassifyDiscrete
	ClassifyFloat
	Create
	Learn
	LearnDiscrete
	LearnFloat
	LoadFromStream
	PriorProbability
	Reset
	ResetWeights
	SaveToStream
	SoftReset