Train the classifier using the specific data
| C# | Visual Basic | Visual C++ |
public bool Train( Matrix<float> trainData, Matrix<int> responses, Matrix<int> varIdx, Matrix<int> sampleIdx, bool update )
- trainData (Matrix<(Of <(Single>)>))
- The training data. A 32-bit floating-point, single-channel matrix, one vector per row
- responses (Matrix<(Of <(Int32>)>))
- A floating-point matrix of the corresponding output vectors, one vector per row.
- varIdx (Matrix<(Of <(Int32>)>))
- Can be null if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
- sampleIdx (Matrix<(Of <(Int32>)>))
- Can be null if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
- update (Boolean)
- If true, the training data is used to update the classifier; Otherwise, the data in the classifier are cleared before training is performed
The number of done iterations