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AVS.SVM_ClassifySingle Method
Classifies input features based on a trained model.
| Namespace: | AvlNet |
|---|---|
| Assembly: | AVL.NET.dll |
Syntax
public static void SVM_ClassifySingle ( AvlNet.SvmModel inSvmModel, IList<float> inVector, out int outPrediction, NullableRef<List<int>> outModelClasses, NullableRef<List<float>> outClassProbabilities )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
 | inSvmModel | AvlNet.SvmModel | Input trained model. | ||
| inVector | System.Collections.Generic.IList<float> | Data vector of unknown class. | ||
 | outPrediction | int | Predicted classes. | ||
| outModelClasses | AvlNet.NullableRef<System.Collections.Generic.List<int>> | All known model classes in order. Can be null to skip this parameter calculation. | ||
| outClassProbabilities | AvlNet.NullableRef<System.Collections.Generic.List<float>> | For each data vector the probability of belonging to each class. Can be null to skip this parameter calculation. |
