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KNN_Train
Trains KNN classifier using sample data.
Syntax
C++
C#
void avl::KNN_Train ( const avl::KNNModel& inKNNModel, const atl::Array<atl::Array<float> >& inFeatures, const atl::Array< int >& inClasses, avl::KNNModel& outKNNModel )
Parameters
| Name | Type | Default | Description | |
|---|---|---|---|---|
 |
inKNNModel | const KNNModel& | Initialized KNN model | |
|
inFeatures | const Array<Array<float> >& | Array of features array | |
|
inClasses | const Array< int >& | Array of classes corresponding to feature array elements | |
 |
outKNNModel | KNNModel& | Trained KNN model |
Errors
| Error type | Description |
|---|---|
| DomainError | Using uninitialized classifier in KNN_Train. |
| DomainError | Input array inFeatures is empty in KNN_Train. |
| DomainError | Input array inClasses is empty in KNN_Train. |
| DomainError | Input inFeatures contains array of different sizes in KNN_Train. |
| DomainError | The inFeatures size is different than inClasses size in KNN_Train. |
| DomainError | Array inClasses contains negative values in KNN_Train. |
| DomainError | Array inClasses contains values grater than maximal class value in KNN_Train. |
