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Train the ANN_MLP model with the specific paramters

Namespace: Emgu.CV.ML
Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.4.0.1717 (2.4.0.1717)

Syntax

C#
public int Train(
	Matrix<float> trainData,
	Matrix<float> responses,
	Matrix<float> sampleWeights,
	Matrix<byte> sampleIdx,
	MCvANN_MLP_TrainParams parameters,
	ANN_MLP_TRAINING_FLAG flag
)
Visual Basic
Public Function Train ( _
	trainData As Matrix(Of Single), _
	responses As Matrix(Of Single), _
	sampleWeights As Matrix(Of Single), _
	sampleIdx As Matrix(Of Byte), _
	parameters As MCvANN_MLP_TrainParams, _
	flag As ANN_MLP_TRAINING_FLAG _
) As Integer
Visual C++
public:
int Train(
	Matrix<float>^ trainData, 
	Matrix<float>^ responses, 
	Matrix<float>^ sampleWeights, 
	Matrix<unsigned char>^ sampleIdx, 
	MCvANN_MLP_TrainParams parameters, 
	ANN_MLP_TRAINING_FLAG flag
)

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 <(<'Single>)>)>
A floating-point matrix of the corresponding output vectors, one vector per row.
sampleWeights
Type: Emgu.CV..::..Matrix<(Of <(<'Single>)>)>
It is not null only for RPROP. The optional floating-point vector of weights for each sample. Some samples may be more important than others for training, e.g. user may want to gain the weight of certain classes to find the right balance between hit-rate and false-alarm rate etc
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
parameters
Type: Emgu.CV.ML.Structure..::..MCvANN_MLP_TrainParams
The parameters for ANN_MLP
flag
Type: Emgu.CV.ML.MlEnum..::..ANN_MLP_TRAINING_FLAG
The traning flag

Return Value

The number of done iterations

See Also