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SVMTrainAuto Method (TrainData, Int32)

http://www.emgu.com
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: 4.1.1.3497 (4.1.1.3497)
Syntax
public bool TrainAuto(
	TrainData trainData,
	int kFold = 10
)

Parameters

trainData
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
True if training is successful.
See Also