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Train the classifier using the specific data

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.2.1777 (2.4.2.1777)

Syntax

C#
public static bool CvNormalBayesClassifierTrain(
	IntPtr classifier,
	IntPtr trainData,
	IntPtr responses,
	IntPtr varIdx,
	IntPtr sampleIdx,
	bool update
)
Visual Basic
Public Shared Function CvNormalBayesClassifierTrain ( _
	classifier As IntPtr, _
	trainData As IntPtr, _
	responses As IntPtr, _
	varIdx As IntPtr, _
	sampleIdx As IntPtr, _
	update As Boolean _
) As Boolean
Visual C++
public:
static bool CvNormalBayesClassifierTrain(
	IntPtr classifier, 
	IntPtr trainData, 
	IntPtr responses, 
	IntPtr varIdx, 
	IntPtr sampleIdx, 
	bool update
)

Parameters

classifier
Type: System..::..IntPtr
The NormalBayesClassifier
trainData
Type: System..::..IntPtr
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
responses
Type: System..::..IntPtr
A floating-point matrix of the corresponding output vectors, one vector per row.
varIdx
Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
sampleIdx
Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
update
Type: System..::..Boolean
If true, the training data is used to update the classifier; Otherwise, the data in the classifier are cleared before training is performed

Return Value

The number of done iterations

See Also