Train the EM model using the specific training data

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.1.0.649 (2.1.0.649)

Syntax

         
 C#  Visual Basic  Visual C++ 
public bool Train(
	Matrix<float> samples,
	Matrix<float> sampleIdx,
	EMParams parameters,
	Matrix<int> labels
)
Public Function Train ( _
	samples As Matrix(Of Single), _
	sampleIdx As Matrix(Of Single), _
	parameters As EMParams, _
	labels As Matrix(Of Integer) _
) As Boolean
public:
bool Train(
	Matrix<float>^ samples, 
	Matrix<float>^ sampleIdx, 
	EMParams^ parameters, 
	Matrix<int>^ labels
)

Parameters

samples
Matrix<(Of <(Single>)>)
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
sampleIdx
Matrix<(Of <(Single>)>)
Can be null if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
parameters
EMParams
The parameters for EM
labels
Matrix<(Of <(Int32>)>)
Can be null if not needed. Optionally computed output "class label" for each sample

Return Value

[Missing <returns> documentation for "M:Emgu.CV.ML.EM.Train(Emgu.CV.Matrix{System.Single},Emgu.CV.Matrix{System.Single},Emgu.CV.ML.EMParams,Emgu.CV.Matrix{System.Int32})"]

See Also