KNearest Methods |
The KNearest type exposes the following members.
Methods| Name | Description | |
|---|---|---|
 | Dispose |
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.) |
 | DisposeObject |
Release the classifier and all the memory associated with it
(Overrides DisposableObjectDisposeObject.) |
| Equals | Determines whether the specified object is equal to the current object. (Inherited from Object.) |
| Finalize |
Destructor
(Inherited from DisposableObject.) |
| FindNearest |
Finds the neighbors and predicts responses for input vectors.
|
| GetHashCode | Serves as the default hash function. (Inherited from Object.) |
| GetType | Gets the Type of the current instance. (Inherited from Object.) |
| MemberwiseClone | Creates a shallow copy of the current Object. (Inherited from Object.) |
| ReleaseManagedResources |
Release the managed resources. This function will be called during the disposal of the current object.
override ride this function if you need to call the Dispose() function on any managed IDisposable object created by the current object
(Inherited from DisposableObject.) |
| ToString | Returns a string that represents the current object. (Inherited from Object.) |
Extension Methods| Name | Description | |
|---|---|---|
 | Clear |
Clear the algorithm
(Defined by AlgorithmExtensions.) |
| GetDefaultName |
Returns the algorithm string identifier.
This string is used as top level xml/yml node tag when the object is saved to a file or string.
(Defined by AlgorithmExtensions.) |
| IsEmpty |
Returns true if the Algorithm is empty. e.g. in the very beginning or after unsuccessful read.
(Defined by AlgorithmExtensions.) |
| Load |
Loads algorithm from the file
(Defined by AlgorithmExtensions.) |
| LoadFromString |
Loads algorithm from a String
(Defined by AlgorithmExtensions.) |
| Predict |
Predicts response(s) for the provided sample(s)
(Defined by StatModelExtensions.) |
| Read |
Reads algorithm parameters from a file storage.
(Defined by AlgorithmExtensions.) |
| Save |
Save the algorithm to file
(Defined by AlgorithmExtensions.) |
| SaveToString |
Save the algorithm to a string
(Defined by AlgorithmExtensions.) |
| Train(TrainData, Int32) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
| Train(IInputArray, DataLayoutType, IInputArray) | Overloaded.
Trains the statistical model.
(Defined by StatModelExtensions.) |
| Write(FileStorage) | Overloaded.
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.) |
| Write(FileStorage, String) | Overloaded.
Stores algorithm parameters in a file storage
(Defined by AlgorithmExtensions.) |
See Also