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AVL.KNN_Train Method
Trains KNN classifier using sample data.
Namespace: | AvlNet |
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Assembly: | AVL.NET.dll |
Syntax
public static void KNN_Train( AvlNet.KNNModel inKNNModel, float[][] inFeatures, int[] inClasses, out AvlNet.KNNModel outKNNModel )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
inKNNModel | AvlNet.KNNModel | Initialized KNN model. | |||
inFeatures | float | Array of features array. | |||
inClasses | int | Array of classes corresponding to feature array elements. | |||
outKNNModel | AvlNet.KNNModel | Trained KNN model. |
Errors
Error type | Description |
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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. |