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Assembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)
Train the SVM model with the specific paramters
Namespace: Emgu.CV.MLAssembly: Emgu.CV.ML (in Emgu.CV.ML.dll) Version: 2.3.0.1416 (2.3.0.1416)
Syntax
C# |
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public static bool CvSVMTrain( IntPtr model, IntPtr trainData, IntPtr responses, IntPtr varIdx, IntPtr sampleIdx, MCvSVMParams parameters ) |
Visual Basic |
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Public Shared Function CvSVMTrain ( _ model As IntPtr, _ trainData As IntPtr, _ responses As IntPtr, _ varIdx As IntPtr, _ sampleIdx As IntPtr, _ parameters As MCvSVMParams _ ) As Boolean |
Visual C++ |
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public: static bool CvSVMTrain( IntPtr model, IntPtr trainData, IntPtr responses, IntPtr varIdx, IntPtr sampleIdx, MCvSVMParams parameters ) |
Parameters
- model
- Type: System..::..IntPtr
The SVM model
- trainData
- Type: System..::..IntPtr
The training data. A 32-bit floating-point, single-channel matrix
- responses
- Type: System..::..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
- Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, identifies variables (features) of interest. It is a Matrix>int< of nx1
- sampleIdx
- Type: System..::..IntPtr
Can be IntPtr.Zero if not needed. When specified, identifies samples of interest. It is a Matrix>int< of nx1
- parameters
- Type: Emgu.CV.ML.Structure..::..MCvSVMParams
The parameters for SVM
Return Value
[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)"]