Emgu CV Library Documentation
CvRTreesPredict Method (model, sample, missingDataMask)
NamespacesEmgu.CV.MLMlInvokeCvRTreesPredict(IntPtr, IntPtr, IntPtr)

www.emgu.com/wiki
The method takes the feature vector and the optional missing measurement mask on input, traverses the random tree and returns the cumulative result from all the trees in the forest (the class that receives the majority of voices, or the mean of the regression function estimates)
Declaration Syntax
C#Visual BasicVisual C++
public static float CvRTreesPredict(
	IntPtr model,
	IntPtr sample,
	IntPtr missingDataMask
)
Public Shared Function CvRTreesPredict ( _
	model As IntPtr, _
	sample As IntPtr, _
	missingDataMask As IntPtr _
) As Single
public:
static float CvRTreesPredict(
	IntPtr model, 
	IntPtr sample, 
	IntPtr missingDataMask
)
Parameters
model (IntPtr)
The decision tree model
sample (IntPtr)
The sample to be predicted
missingDataMask (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)
Return Value
The cumulative result from all the trees in the forest (the class that receives the majority of voices, or the mean of the regression function estimates)

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