SVM_ClassifySingle
Classifies input features based on a trained model.
Syntax
C++
C#
Python
def SVM_ClassifySingle( inSvmModel: SvmModel, inVector: list[float], / ) -> ( outPrediction: int, outModelClasses: list[int], outClassProbabilities: list[float] )
Parameters
| Name | Type | Default | Description | |
|---|---|---|---|---|
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inSvmModel | SvmModel | Input trained model | |
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inVector | list[float] | Data vector of unknown class | |
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outPrediction | int | Predicted classes | |
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outModelClasses | list[int] | All known model classes in order | |
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outClassProbabilities | list[float] | For each data vector the probability of belonging to each class |


