com.pervasive.datarush.analytics.knn

Class VotingClassification

java.lang.Object

com.pervasive.datarush.analytics.knn.ClassificationScheme

com.pervasive.datarush.analytics.knn.VotingClassification

All Implemented Interfaces:

Serializable

public class VotingClassification
extends ClassificationScheme

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class com.pervasive.datarush.analytics.knn.ClassificationScheme

ClassificationScheme.Classifier, ClassificationScheme.Distance

Method Summary

Modifier and Type	Method and Description
boolean	isValidTargetType(ScalarTokenType type) Indicates whether the classification method is valid for the specified type.
boolean	isWeighted() Returns whether the classification is weighted
ClassificationScheme.Classifier	newClassifier(int k) Creates a new classifier for use.

Methods inherited from class com.pervasive.datarush.analytics.knn.ClassificationScheme

avg, vote

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

isWeighted

public boolean isWeighted()

Returns whether the classification is weighted

Returns:

whether the classification is weighted

newClassifier

public final ClassificationScheme.Classifier newClassifier(int k)

Description copied from class: ClassificationScheme

Creates a new classifier for use.

Specified by:

newClassifier in class ClassificationScheme

Parameters:

k - the number of neighbors to expect.

Returns:

a new classifier

isValidTargetType

public final boolean isValidTargetType(ScalarTokenType type)

Description copied from class: ClassificationScheme

Indicates whether the classification method is valid for the specified type. Some classifiers may only be applicable to continuous data.

Specified by:

isValidTargetType in class ClassificationScheme

Parameters:

type - the type of the class data

Returns:

true if the data type is compatible, false otherwise.