Train the ANN_MLP model with the specific paramters
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: 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
- Matrix<(Of <(<'Single>)>)>
The training data. A 32-bit floating-point, single-channel matrix, one vector per row
- responses
- Matrix<(Of <(<'Single>)>)>
A floating-point matrix of the corresponding output vectors, one vector per row.
- sampleWeights
- 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
- Matrix<(Of <(<'Byte>)>)>
Can be null if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
- parameters
- MCvANN_MLP_TrainParams
The parameters for ANN_MLP
- flag
- ANN_MLP_TRAINING_FLAG
The traning flag