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SVMTrainAuto Method (TrainData, Int32)
The method trains the SVM model automatically by choosing the optimal parameters C, gamma, p, nu, coef0, degree from CvSVMParams. By the optimality one mean that the cross-validation estimate of the test set error is minimal.

Namespace:  Emgu.CV.ML
Assembly:  Emgu.CV.World (in Emgu.CV.World.dll) Version: (
public bool TrainAuto(
	TrainData trainData,
	int kFold = 10


Type: Emgu.CV.MLTrainData
The training data.
kFold (Optional)
Type: SystemInt32
Cross-validation parameter. The training set is divided into k_fold subsets, one subset being used to train the model, the others forming the test set. So, the SVM algorithm is executed k_fold times

Return Value

Type: Boolean

[Missing <returns> documentation for "M:Emgu.CV.ML.SVM.TrainAuto(Emgu.CV.ML.TrainData,System.Int32)"]

See Also