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Update the KNearest classifier using the specific traing 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 CvKNearestTrain(
	IntPtr classifier,
	IntPtr trainData,
	IntPtr responses,
	IntPtr sampleIdx,
	bool isRegression,
	int maxK,
	bool updateBase
)
Visual Basic
Public Shared Function CvKNearestTrain ( _
	classifier As IntPtr, _
	trainData As IntPtr, _
	responses As IntPtr, _
	sampleIdx As IntPtr, _
	isRegression As Boolean, _
	maxK As Integer, _
	updateBase As Boolean _
) As Boolean
Visual C++
public:
static bool CvKNearestTrain(
	IntPtr classifier, 
	IntPtr trainData, 
	IntPtr responses, 
	IntPtr sampleIdx, 
	bool isRegression, 
	int maxK, 
	bool updateBase
)

Parameters

classifier
Type: System..::..IntPtr
The KNearest classifier to be updated
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.
sampleIdx
Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
isRegression
Type: System..::..Boolean
Specify the output variables type. It can be either categorical (isRegression=false) or ordered (isRegression=true)
maxK
Type: System..::..Int32
The number of maximum neighbors that may be passed to the method findNearest.
updateBase
Type: System..::..Boolean
If true, the existing classifer is updated using the new training data; Otherwise, the classifier is trained from scratch

Return Value

[Missing <returns> documentation for "M:Emgu.CV.ML.MlInvoke.CvKNearestTrain(System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,System.Boolean,System.Int32,System.Boolean)"]

See Also