de.lmu.ifi.dbs.elki.evaluation.classification.holdout

Class TrainingAndTestSet

java.lang.Object

de.lmu.ifi.dbs.elki.evaluation.classification.holdout.TrainingAndTestSet

public class TrainingAndTestSet
extends Object

Wrapper to hold a pair of training and test data sets. The labels of both training and test set are provided in labels.

Author:

Arthur Zimek

Field Summary

Fields

Modifier and Type	Field and Description
private ArrayList<ClassLabel>	labels The overall labels.
private MultipleObjectsBundle	test The test data.
private MultipleObjectsBundle	training The training data.

Constructor Summary

Constructors

Constructor and Description
TrainingAndTestSet(MultipleObjectsBundle training, MultipleObjectsBundle test, ArrayList<ClassLabel> labels) Provides a pair of training and test data sets out of the given two databases.

Method Summary

Methods

Modifier and Type	Method and Description
ArrayList<ClassLabel>	getLabels() Returns all labels present in the data set.
MultipleObjectsBundle	getTest() Returns the test data set.
MultipleObjectsBundle	getTraining() Returns the training data set.

Methods inherited from class java.lang.Object

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

Field Detail

labels

private ArrayList<ClassLabel> labels

The overall labels.

training

private MultipleObjectsBundle training

The training data.

test

private MultipleObjectsBundle test

The test data.

Constructor Detail

TrainingAndTestSet

public TrainingAndTestSet(MultipleObjectsBundle training,
                  MultipleObjectsBundle test,
                  ArrayList<ClassLabel> labels)

Provides a pair of training and test data sets out of the given two databases.

Method Detail

getTest

public MultipleObjectsBundle getTest()

Returns the test data set.

Returns:

the test data set

getTraining

public MultipleObjectsBundle getTraining()

Returns the training data set.

Returns:

the training data set

getLabels

public ArrayList<ClassLabel> getLabels()

Returns all labels present in the data set.

Returns:

all labels