http://www.emgu.com
Train the decision tree using the specific traning data

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.10.1935 (2.4.10.1935)

Syntax

C#
public bool Train(
	Matrix<float> trainData,
	DATA_LAYOUT_TYPE tflag,
	Matrix<float> responses,
	Matrix<int> varIdx,
	Matrix<int> sampleIdx,
	Matrix<byte> varType,
	Matrix<byte> missingMask,
	MCvDTreeParams param
)
Visual Basic
Public Function Train ( 
	trainData As Matrix(Of Single),
	tflag As DATA_LAYOUT_TYPE,
	responses As Matrix(Of Single),
	varIdx As Matrix(Of Integer),
	sampleIdx As Matrix(Of Integer),
	varType As Matrix(Of Byte),
	missingMask As Matrix(Of Byte),
	param As MCvDTreeParams
) As Boolean
Visual C++
public:
bool Train(
	Matrix<float>^ trainData, 
	DATA_LAYOUT_TYPE tflag, 
	Matrix<float>^ responses, 
	Matrix<int>^ varIdx, 
	Matrix<int>^ sampleIdx, 
	Matrix<unsigned char>^ varType, 
	Matrix<unsigned char>^ missingMask, 
	MCvDTreeParams param
)
F#
member Train : 
        trainData : Matrix<float32> * 
        tflag : DATA_LAYOUT_TYPE * 
        responses : Matrix<float32> * 
        varIdx : Matrix<int> * 
        sampleIdx : Matrix<int> * 
        varType : Matrix<byte> * 
        missingMask : Matrix<byte> * 
        param : MCvDTreeParams -> bool 

Parameters

trainData
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
tflag
Type: Emgu.CV.ML.MlEnum..::..DATA_LAYOUT_TYPE
data layout type
responses
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
A floating-point matrix of the corresponding output vectors, one vector per row.
varIdx
Type: Emgu.CV..::..Matrix<(Of <(<'Int32>)>)>
Can be null if not needed. When specified, the elements in the matrix contains the index to the variables (features) of interest. It is a Matrix>int< of nx1 where n %lt;= number of rows in trainData
sampleIdx
Type: Emgu.CV..::..Matrix<(Of <(<'Int32>)>)>
Can be null if not needed. When specified, the elements in the matrix contains the index to the samples of interest. It is a Matrix>int< of nx1 where n %lt;= number of rows in trainData
varType
Type: Emgu.CV..::..Matrix<(Of <(<'Byte>)>)>
The types of input variables
missingMask
Type: Emgu.CV..::..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
Type: Emgu.CV.ML.Structure..::..MCvDTreeParams
The parameters for training the decision tree

Return Value

Type: Boolean

[Missing <returns> documentation for "M:Emgu.CV.ML.DTree.Train(Emgu.CV.Matrix{System.Single},Emgu.CV.ML.MlEnum.DATA_LAYOUT_TYPE,Emgu.CV.Matrix{System.Single},Emgu.CV.Matrix{System.Int32},Emgu.CV.Matrix{System.Int32},Emgu.CV.Matrix{System.Byte},Emgu.CV.Matrix{System.Byte},Emgu.CV.ML.Structure.MCvDTreeParams)"]

See Also