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Trains KNN classifier using sample data.
Namespace: | FilNet |
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Assembly: | FIL.NET.dll |
Syntax
C++
C#
public static void KNN_Train ( FilNet.KNNModel inKNNModel, IList<IList<float>> inFeatures, IList<int> inClasses, FilNet.KNNModel outKNNModel )
Parameters
Name | Type | Range | Default | Description | |
---|---|---|---|---|---|
![]() | inKNNModel | FilNet.KNNModel | Initialized KNN model. | ||
![]() | inFeatures | System.Collections.Generic.IList<System.Collections.Generic.IList<float>> | Array of features array. | ||
![]() | inClasses | System.Collections.Generic.IList<int> | Array of classes corresponding to feature array elements. | ||
![]() | outKNNModel | FilNet.KNNModel | Trained KNN model. |
Errors
List of possible exceptions:
Error type | Description |
---|---|
DomainError | Array inClasses contains negative values in KNN_Train. |
DomainError | Array inClasses contains values grater than maximal class value in KNN_Train. |
DomainError | Input array inClasses is empty in KNN_Train. |
DomainError | Input array inFeatures 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 | Using uninitialized classifier in KNN_Train. |