MOA 12.03
Real Time Analytics for Data Streams
moa.clusterers.Clusterer Interface Reference
Inheritance diagram for moa.clusterers.Clusterer:
Collaboration diagram for moa.clusterers.Clusterer:

List of all members.

Public Member Functions

void setModelContext (InstancesHeader ih)
InstancesHeader getModelContext ()
boolean isRandomizable ()
void setRandomSeed (int s)
boolean trainingHasStarted ()
double trainingWeightSeenByModel ()
void resetLearning ()
void trainOnInstance (Instance inst)
double[] getVotesForInstance (Instance inst)
Measurement[] getModelMeasurements ()
Clusterer[] getSubClusterers ()
Clusterer copy ()
 This method produces a copy of this object.
Clustering getClusteringResult ()
boolean implementsMicroClusterer ()
Clustering getMicroClusteringResult ()
boolean keepClassLabel ()

Detailed Description

Definition at line 30 of file

Member Function Documentation

Clusterer moa.clusterers.Clusterer.copy ( )

This method produces a copy of this object.

a copy of this object

Implements moa.MOAObject.

Implemented in moa.clusterers.AbstractClusterer.

Referenced by moa.clusterers.AbstractClusterer.copy().

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InstancesHeader moa.clusterers.Clusterer.getModelContext ( )
Measurement [] moa.clusterers.Clusterer.getModelMeasurements ( )

Implemented in moa.clusterers.AbstractClusterer.

Referenced by moa.evaluation.LearningEvaluation.LearningEvaluation().

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Clusterer [] moa.clusterers.Clusterer.getSubClusterers ( )
boolean moa.clusterers.Clusterer.keepClassLabel ( )
void moa.clusterers.Clusterer.resetLearning ( )
void moa.clusterers.Clusterer.setModelContext ( InstancesHeader  ih)
void moa.clusterers.Clusterer.setRandomSeed ( int  s)
boolean moa.clusterers.Clusterer.trainingHasStarted ( )
double moa.clusterers.Clusterer.trainingWeightSeenByModel ( )
void moa.clusterers.Clusterer.trainOnInstance ( Instance  inst)

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