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Create a normal Bayes classifier using the specific training data

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.10.1935 (2.4.10.1935)

Syntax

C#
public static IntPtr CvNormalBayesClassifierCreate(
	IntPtr trainData,
	IntPtr responses,
	IntPtr varIdx,
	IntPtr sampleIdx
)
Visual Basic
Public Shared Function CvNormalBayesClassifierCreate ( 
	trainData As IntPtr,
	responses As IntPtr,
	varIdx As IntPtr,
	sampleIdx As IntPtr
) As IntPtr
Visual C++
public:
static IntPtr CvNormalBayesClassifierCreate(
	IntPtr trainData, 
	IntPtr responses, 
	IntPtr varIdx, 
	IntPtr sampleIdx
)
F#
static member CvNormalBayesClassifierCreate : 
        trainData : IntPtr * 
        responses : IntPtr * 
        varIdx : IntPtr * 
        sampleIdx : IntPtr -> IntPtr 

Parameters

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

Return Value

Type: IntPtr
The normal Beyes classifier

See Also