Train the SVM model with the specific paramters
| C# | Visual Basic | Visual C++ |
public static bool CvSVMTrain( IntPtr model, IntPtr trainData, IntPtr responses, IntPtr varIdx, IntPtr sampleIdx, MCvSVMParams parameters )
- model (IntPtr)
- The SVM model
- trainData (IntPtr)
- The training data. A 32-bit floating-point, single-channel matrix
- responses (IntPtr)
- The response for the training data. It's usually a 32-bit floating point matrix; In classification problem, it can be an Int32 matrix.
- 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
- parameters (MCvSVMParams)
- The parameters for SVM
[Missing <returns> documentation for M:Emgu.CV.ML.MlInvoke.CvSVMTrain(System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,System.IntPtr,Emgu.CV.ML.Structure.MCvSVMParams)]