Train the random tree using the specific traning data
Namespace: Emgu.CV.MLAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.2.1.1150 (2.2.1.1150)
Syntax
C# | Visual Basic | Visual C++ |
public: bool Train( Matrix<float>^ trainData, DATA_LAYOUT_TYPE tflag, Matrix<float>^ responses, Matrix<unsigned char>^ varIdx, Matrix<unsigned char>^ sampleIdx, Matrix<unsigned char>^ varType, Matrix<unsigned char>^ missingMask, MCvRTParams param )
Parameters
- trainData
- Matrix<(Of <(<'Single>)>)>
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
- tflag
- DATA_LAYOUT_TYPE
data layout type
- responses
- Matrix<(Of <(<'Single>)>)>
A floating-point matrix of the corresponding output vectors, one vector per row.
- varIdx
- Matrix<(Of <(<'Byte>)>)>
Can be null if not needed. When specified, identifies variables (features) of interest. It is a Matrix<int> of nx1
- sampleIdx
- Matrix<(Of <(<'Byte>)>)>
Can be null if not needed. When specified, identifies samples of interest. It is a Matrix<int> of nx1
- missingMask
- 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)
- param
- MCvRTParams
The parameters for training the random tree
Return Value
[Missing <returns> documentation for "M:Emgu.CV.ML.RTrees.Train(Emgu.CV.Matrix{System.Single},Emgu.CV.ML.MlEnum.DATA_LAYOUT_TYPE,Emgu.CV.Matrix{System.Single},Emgu.CV.Matrix{System.Byte},Emgu.CV.Matrix{System.Byte},Emgu.CV.Matrix{System.Byte},Emgu.CV.Matrix{System.Byte},Emgu.CV.ML.Structure.MCvRTParams)"]