Train the classifier using the specific data
| C# | Visual Basic | Visual C++ |
public static bool CvNormalBayesClassifierTrain( IntPtr classifier, IntPtr trainData, IntPtr responses, IntPtr varIdx, IntPtr sampleIdx, bool update )
- classifier (IntPtr)
- The NormalBayesClassifier
- trainData (IntPtr)
- The training data. A 32-bit floating-point, single-channel matrix, one vector per row
- responses (IntPtr)
- A floating-point matrix of the corresponding output vectors, one vector per row.
- varIdx (IntPtr)
- Can be IntPtr.Zero if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
- sampleIdx (IntPtr)
- Can be IntPtr.Zero 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