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Expert| Module: | FoundationPro |
|---|
Classify data using the KNN classifier.
| Name | Type | Range | Description | |
|---|---|---|---|---|
 |
inKNNModel | KNNModel | Trained KNN model | |
|
inFeature | RealArray | Vector of features | |
|
inK | Integer | 1 - + |
Numbers of neighbors |
|
inDistanceType | Metric | Geometry distance type used to calculate neighbors | |
 |
outClass | Integer | ||
Errors
This filter can throw an exception to report error. Read how to deal with errors in Error Handling.
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. |
Complexity Level
This filter is available on Expert Complexity Level.
