org.apache.samoa.learners.clusterers

Interface LocalClustererAdapter

All Superinterfaces:

Serializable

All Known Implementing Classes:

ClustreamClustererAdapter

public interface LocalClustererAdapter
extends Serializable

Learner interface for non-distributed learners.

Author:

abifet

Method Summary

Modifier and Type	Method and Description
LocalClustererAdapter	create() Creates a new learner object.
Instances	getDataset()
Clustering	getMicroClusteringResult()
double[]	getVotesForInstance(Instance inst) Predicts the class memberships for a given instance.
boolean	implementsMicroClusterer()
void	resetLearning() Resets this classifier.
void	setDataset(Instances dataset) Sets where to obtain the information of attributes of Instances
void	trainOnInstance(Instance inst) Trains this classifier incrementally using the given instance.

Method Detail

create

LocalClustererAdapter create()

Creates a new learner object.

Returns:

the learner

getVotesForInstance

double[] getVotesForInstance(Instance inst)

Predicts the class memberships for a given instance. If an instance is unclassified, the returned array elements must be all zero.

Parameters:

inst - the instance to be classified

Returns:

an array containing the estimated membership probabilities of the test instance in each class

resetLearning

void resetLearning()

Resets this classifier. It must be similar to starting a new classifier from scratch.

trainOnInstance

void trainOnInstance(Instance inst)

Trains this classifier incrementally using the given instance.

Parameters:

inst - the instance to be used for training

setDataset

void setDataset(Instances dataset)

Sets where to obtain the information of attributes of Instances

Parameters:

dataset - the dataset that contains the information

getDataset

Instances getDataset()

implementsMicroClusterer

boolean implementsMicroClusterer()

getMicroClusteringResult

Clustering getMicroClusteringResult()