Emgu CV Library Documentation
CvBoostTrain Method (model, trainData, tFlag, responses, varIdx, sampleIdx, varType, missingMask, param, update)
NamespacesEmgu.CV.MLMlInvokeCvBoostTrain(IntPtr, IntPtr, DATA_LAYOUT_TYPE, IntPtr, IntPtr, IntPtr, IntPtr, IntPtr, MCvBoostParams, Boolean)

www.emgu.com/wiki
Train the boost tree using the specific traning data
Declaration Syntax
C#Visual BasicVisual 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
)
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
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 (IntPtr)
The Boost Tree model
trainData (IntPtr)
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
tFlag (DATA_LAYOUT_TYPE)
The data layout type of the train data
responses (IntPtr)
A floating-point matrix of the corresponding output vectors, one vector per row.
varIdx (IntPtr)
Can be IntPtr.Zero if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
sampleIdx (IntPtr)
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
varType (IntPtr)
The types of input variables
missingMask (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 (MCvBoostParams)
The parameters for training the random tree
update (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)]

Assembly: Emgu.CV.ML (Module: Emgu.CV.ML) Version: 1.0.0.0 (1.0.0.0)