Class ILKNearestNeighbor.TILKNearestNeighbor

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	=== C# (.NET): ===		=== C# (.NET): ===
	<code>		<code>
−	'''public ref class''' TILKNearestNeighbor : [[Class ILBasicClassifier.TILTrainableBasicClassifier|Mitov.IntelligenceLab.TrainableBasicClassifier]]	+	'''public ref class''' KNearestNeighbor : [[Class ILBasicClassifier.TILTrainableBasicClassifier|Mitov.IntelligenceLab.TrainableBasicClassifier]]
	</code>		</code>
	== Summary ==		== Summary ==

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Latest revision as of 00:32, 26 June 2013

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Package: IntelligenceLabPkg

Unit: ILKNearestNeighbor

Inherits: TILTrainableBasicClassifier

Contents 1 Syntax 1.1 Delphi: 1.2 C++ Builder: 1.3 Visual C++ (MFC): 1.4 C# (.NET): 2 Summary 3 Description 4 Properties 4.1 Published 5 Methods 5.1 Public 6 Events 7 From TILTrainableBasicClassifier 8 Methods 8.1 Public 9 Pins 10 From TILBasicClassifier 11 Pins 12 From TILSimpleBasicClassifierTemplate 13 Properties 13.1 Published 14 Methods 14.1 Public 15 Pins 16 From TILSimpleBasicClassifier 17 Properties 17.1 Published 18 Methods 18.1 Public

Syntax

Delphi:

type TILKNearestNeighbor = class( TILTrainableBasicClassifier, TILKNearestNeighborResult )

C++ Builder:

class TILKNearestNeighbor : public TILTrainableBasicClassifier

Visual C++ (MFC):

class CTILKNearestNeighbor : public CTILTrainableBasicClassifier

C# (.NET):

public ref class KNearestNeighbor : Mitov.IntelligenceLab.TrainableBasicClassifier

Summary

K Nearest Neighbor classifier.

Description

Defines K Nearest Neighbor classifier.

Diagram:

Example:

Properties

Published

• K - Specifies the K value for the K Nearest Neighbor.

Methods

Public

• procedure Clear() - Clears the training of the classifier.
• procedure Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBuffer; AUpdate : Boolean)

Events

• OnResult - On prediction result event.
• OnCustomDistance - On calculate custom distance event.

From TILTrainableBasicClassifier

Methods

Public

• procedure Train(AData : IILTrainingDataArray; AUpdate : Boolean) - Trains the classifier.
• procedure Train(ATraingFeatures : ISLRealBuffer; AResposes : Real; AUpdate : Boolean)
• procedure Train(ATraingFeatures : ISLRealBufferArray; AResposes : ISLRealBuffer; AUpdate : Boolean) - Trains the classifier.

Pins

• TrainingInputPin - The training input pin of the component.

From TILBasicClassifier

Pins

• ClassOutputPin - The class Output Pin of the classifier.

From TILSimpleBasicClassifierTemplate

Properties

Published

• SynchronizeType - Specifies the type of thread buffer synchronization.
• Threading - Specifies the desired threading settings for the filtering.

Methods

Public

• procedure Predict(AFeatures : ISLRealBuffer) - Gets a prediction from the classifier.

Pins

• InputPin - The features input pin of the component.

From TILSimpleBasicClassifier

Properties

Published

• SaveTraining - Specifies if the training data should be saved in the project.

Methods

Public

• procedure SaveToFile(AFileName : String) - Saves the training to a file.
• procedure LoadFromFile(AFileName : String) - Loads the training from a file.
• procedure SaveToStream(AStream : TStream) - Saves the training to a stream.
• procedure LoadFromStream(AStream : TStream) - Loads the training from a stream.