org.openimaj.experiment.dataset.sampling

Interface Sampler<DATASET extends Dataset<?>>

Type Parameters:

DATASET - The type of dataset being sampled

All Known Implementing Classes:

GroupedUniformRandomisedSampler, GroupSampler, NamedGroupSampler, StratifiedGroupedUniformRandomisedSampler, UniformRandomisedSampler

public interface Sampler<DATASET extends Dataset<?>>

Interface describing classes that can sample instances from a dataset to create a new (smaller) dataset.

Author:

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

Method Summary

Modifier and Type	Method and Description
DATASET	sample(DATASET dataset) Perform the sampling operation on the given data and return the sampled dataset.

Method Detail

sample

DATASET sample(DATASET dataset)

Perform the sampling operation on the given data and return the sampled dataset.

Parameters:

dataset - the dataset to sample

Returns:

the sampled dataset