Create a normal Bayes classifier using the specific training data

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.0.0.0 (2.0.0.0)

Syntax

C#
public static IntPtr CvNormalBayesClassifierCreate(
	IntPtr trainData,
	IntPtr responses,
	IntPtr varIdx,
	IntPtr sampleIdx
)
Visual Basic (Declaration)
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
)

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

The normal Beyes classifier

See Also