org.openimaj.data.dataset

Interface Dataset<INSTANCE>

Type Parameters:

INSTANCE - the type of items in the dataset

All Superinterfaces:

Iterable<INSTANCE>

All Known Subinterfaces:

GroupedDataset<KEY,DATASET,INSTANCE>, ListDataset<INSTANCE>, ShapeModelDataset<IMAGE>, StreamingDataset<INSTANCE>

All Known Implementing Classes:

AbstractIRCStreamDataset, AbstractTwitterSearchDataset, AbstractTwitterStatusesFilterDataset, AbstractTwitterStreamDataset, ATandTDataset, BasicIRCStreamDataset, BingImageDataset, ClusterEvalDataset, ContextRoundRobinTwitterSearchAPIDataset, Corel5kDataset, FDDBDataset, FlickrImageDataset, ListBackedDataset, MapBackedDataset, MusicSpeechDataset, ReadableGroupDataset, ReadableListDataset, RoundRobinTwitterSearchAPIDataset, TextFileDataset, TwitterSearchDataset, TwitterStreamDataset, TwitterStreamFilterDataset, UKBenchGroupDataset, UKBenchListDataset, VFSGroupDataset, VFSListDataset, WikipediaEditsDataset, WineDataset

public interface Dataset<INSTANCE>
extends Iterable<INSTANCE>

The super-interface for all types of dataset. Each data instance may have attributes. All datasets provide a way to iterate through their instances via the Iterable interface.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Method Summary

Modifier and Type	Method and Description
INSTANCE	getRandomInstance()
int	numInstances() Returns the number of instances in this dataset.

Methods inherited from interface java.lang.Iterable

forEach, iterator, spliterator

Method Detail

getRandomInstance

INSTANCE getRandomInstance()

Returns:

a randomly selected instance from the dataset.

numInstances

int numInstances()

Returns the number of instances in this dataset.

Returns:

the number of instances in this list