ClassifierFactoryLearn Method

public Classifier Learn(
	SampleImageList sampleImageList,
	out double learnResult
)

Public Function Learn ( 
	sampleImageList As SampleImageList,
	<OutAttribute> ByRef learnResult As Double
) As Classifier

public:
Classifier^ Learn(
	SampleImageList^ sampleImageList, 
	[OutAttribute] double% learnResult
)

member Learn : 
        sampleImageList : SampleImageList * 
        learnResult : float byref -> Classifier 

Parameters

sampleImageList

Type: Stemmer.Cvb.MantoSampleImageList
image list from which to learn the classifier

learnResult

Type: SystemDouble
the learn result; if learning was completed successfully this parameter will contain the learn result which is a measure for the amount of decision boundary_ violation that occurred during the learn process. This value can be interpreted as a measure for the separability of the image list from which the classifier was learned under the parameter conditions with which is was learned; it will not necessarily be a measure for the actual quality of the resulting classifier.

Return Value

Reference