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Train the boost tree using the specific traning data

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.0.1717 (2.4.0.1717)

Syntax

C#
public static bool CvBoostTrain(
	IntPtr model,
	IntPtr trainData,
	DATA_LAYOUT_TYPE tFlag,
	IntPtr responses,
	IntPtr varIdx,
	IntPtr sampleIdx,
	IntPtr varType,
	IntPtr missingMask,
	MCvBoostParams param,
	bool update
)
Visual Basic
Public Shared Function CvBoostTrain ( _
	model As IntPtr, _
	trainData As IntPtr, _
	tFlag As DATA_LAYOUT_TYPE, _
	responses As IntPtr, _
	varIdx As IntPtr, _
	sampleIdx As IntPtr, _
	varType As IntPtr, _
	missingMask As IntPtr, _
	param As MCvBoostParams, _
	update As Boolean _
) As Boolean
Visual C++
public:
static bool CvBoostTrain(
	IntPtr model, 
	IntPtr trainData, 
	DATA_LAYOUT_TYPE tFlag, 
	IntPtr responses, 
	IntPtr varIdx, 
	IntPtr sampleIdx, 
	IntPtr varType, 
	IntPtr missingMask, 
	MCvBoostParams param, 
	bool update
)

Parameters

model
Type: System..::..IntPtr
The Boost Tree model
trainData
Type: System..::..IntPtr
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
tFlag
Type: Emgu.CV.ML.MlEnum..::..DATA_LAYOUT_TYPE
The data layout type of the train data
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
varType
Type: System..::..IntPtr
The types of input variables
missingMask
Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, it is an 8-bit matrix of the same size as trainData, is used to mark the missed values (non-zero elements of the mask)
param
Type: Emgu.CV.ML.Structure..::..MCvBoostParams
The parameters for training the random tree
update
Type: System..::..Boolean
specifies whether the classifier needs to be updated (i.e. the new weak tree classifiers added to the existing ensemble), or the classifier needs to be rebuilt from scratch

Return Value

[Missing <returns> documentation for "M:Emgu.CV.ML.MlInvoke.CvBoostTrain(System.IntPtr,System.IntPtr,Emgu.CV.ML.MlEnum.DATA_LAYOUT_TYPE,System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,Emgu.CV.ML.Structure.MCvBoostParams,System.Boolean)"]

See Also