Train the EM model using the specific training data
| C# | Visual Basic | Visual C++ |
- model (IntPtr)
- The EM model
- samples (IntPtr)
- The training data. A 32-bit floating-point, single-channel matrix, one vector per row
- sampleIdx (IntPtr)
- Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
- parameters (MCvEMParams)
- The parameters for EM
- labels (IntPtr)
- Can be IntPtr.Zero if not needed. Optionally computed output "class label" for each sample
[Missing <returns> documentation for M:Emgu.CV.ML.MlInvoke.CvEMTrain(System.IntPtr,System.IntPtr,System.IntPtr,Emgu.CV.ML.Structure.MCvEMParams,System.IntPtr)]