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)

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.2.0.1010 (2.2.0.1010)

Syntax

         
 C#  Visual Basic  Visual C++ 
public float Predict(
	Matrix<float> sample,
	Matrix<byte> missingDataMask
)
Public Function Predict ( _
	sample As Matrix(Of Single), _
	missingDataMask As Matrix(Of Byte) _
) As Single
public:
float Predict(
	Matrix<float>^ sample, 
	Matrix<unsigned char>^ missingDataMask
)

Parameters

sample
Matrix<(Of <(<'Single>)>)>
The sample to be predicted
missingDataMask
Matrix<(Of <(<'Byte>)>)>
Can be null 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)

See Also