MCAEmotiv.Classification.IClassifier Interface Reference

A basic interface which all classifiers must implement. More...

Inheritance diagram for MCAEmotiv.Classification.IClassifier:

List of all members.

Public Member Functions
void	Train (IArrayView< Example > labeledExamples)
	Train the classifier on the provided labeled examples.
int	Predict (Example example, out double confidence)
	Predict the class of example. If example is labeled, the label will be ignored.
Properties
bool	IsTrained [get]
	Has the classifier been trained?
bool	ComputesConfidence [get]
	Should the classifier's confidence output be treated as valid?

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Detailed Description

A basic interface which all classifiers must implement.

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Member Function Documentation

int MCAEmotiv.Classification.IClassifier.Predict	(	Example	example,
		out double	confidence
	)

Predict the class of example. If example is labeled, the label will be ignored.

Parameters:

example	the example to be classified
confidence	An out parameter whose value may reflect the classifier's confidence in its prediciton

Returns:

The predicted class of the example

Implemented in MCAEmotiv.Classification.AbstractClassifier.

void MCAEmotiv.Classification.IClassifier.Train

(

IArrayView< Example >

labeledExamples

)

Train the classifier on the provided labeled examples.

Implemented in MCAEmotiv.Classification.AbstractClassifier.

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Property Documentation

bool MCAEmotiv.Classification.IClassifier.ComputesConfidence [get]

Should the classifier's confidence output be treated as valid?

Implemented in MCAEmotiv.Classification.AdaBoost, MCAEmotiv.Classification.AmplitudeDecisionStump, MCAEmotiv.Classification.AbstractClassifier, MCAEmotiv.Classification.DecisionStump, MCAEmotiv.Classification.KNN, MCAEmotiv.Classification.PenalizedLogisticRegression, and MCAEmotiv.Classification.VotedPerceptron.

bool MCAEmotiv.Classification.IClassifier.IsTrained [get]

Has the classifier been trained?

Implemented in MCAEmotiv.Classification.AbstractClassifier.

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The documentation for this interface was generated from the following file:

• Emotiv/Classification/Classifiers.cs