Create a normal Bayes classifier using the specific training data
| C# | Visual Basic | Visual C++ |
- 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
The normal Beyes classifier