Train the classifier using the specific data

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.0.0.0 (2.0.0.0)

Syntax

C#
public bool Train(
	Matrix<float> trainData,
	Matrix<int> responses,
	Matrix<byte> varIdx,
	Matrix<byte> sampleIdx,
	bool update
)
Visual Basic (Declaration)
Public Function Train ( _
	trainData As Matrix(Of Single), _
	responses As Matrix(Of Integer), _
	varIdx As Matrix(Of Byte), _
	sampleIdx As Matrix(Of Byte), _
	update As Boolean _
) As Boolean
Visual C++
public:
bool Train(
	Matrix<float>^ trainData, 
	Matrix<int>^ responses, 
	Matrix<unsigned char>^ varIdx, 
	Matrix<unsigned char>^ sampleIdx, 
	bool update
)

Parameters

trainData
Type: Emgu.CV..::.Matrix<(Of <(Single>)>)
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
responses
Type: Emgu.CV..::.Matrix<(Of <(Int32>)>)
A floating-point matrix of the corresponding output vectors, one vector per row.
varIdx
Type: Emgu.CV..::.Matrix<(Of <(Byte>)>)
Can be null if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
sampleIdx
Type: Emgu.CV..::.Matrix<(Of <(Byte>)>)
Can be null if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
update
Type: System..::.Boolean
If true, the training data is used to update the classifier; Otherwise, the data in the classifier are cleared before training is performed

Return Value

The number of done iterations

See Also