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KNN_Classify
| Header: | AVL.h |
|---|---|
| Namespace: | avl |
| Module: | FoundationPro |
Classify data using the KNN classifier.
Syntax
C++
C#
void avl::KNN_Classify ( const avl::KNNModel& inKNNModel, const atl::Array<float>& inFeature, const int inK, const avl::Metric::Type inDistanceType, int& outClass )
Parameters
| Name | Type | Range | Default | Description | |
|---|---|---|---|---|---|
 |
inKNNModel | const KNNModel& | Trained KNN model | ||
|
inFeature | const Array<float>& | Vector of features | ||
|
inK | const int | 1 - + |
Numbers of neighbors | |
|
inDistanceType | const Metric::Type | Geometry distance type used to calculate neighbors | ||
 |
outClass | int& |
Errors
List of possible exceptions:
| Error type | Description |
|---|---|
| DomainError | The inFeature has different dimensions count than KNNModel in KNN_Classify. |
| DomainError | The inK is bigger than data samples count in KNN_Classify. |
| DomainError | Using not trained classifier in KNN_Classify. |
