org.openimaj.experiment.validation.cross

Interface CrossValidator<DATASET extends org.openimaj.data.dataset.Dataset<?>>

Type Parameters:

DATASET - The type of dataset

All Known Implementing Classes:

GroupedKFold, GroupedLeaveOneOut, KFold, LeaveOneOut, StratifiedGroupedKFold

public interface CrossValidator<DATASET extends org.openimaj.data.dataset.Dataset<?>>

Interface for cross-validation schemes. A scheme must be able to create an Iterable that provides an Iterator over the different sets of training and validation data created during the cross validation process.

Author:

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

Method Summary

Modifier and Type	Method and Description
CrossValidationIterable<DATASET>	createIterable(DATASET data) Create the iterable from the dataset.

Method Detail

createIterable

CrossValidationIterable<DATASET> createIterable(DATASET data)

Create the iterable from the dataset.

Parameters:

data - the dataset

Returns:

the iterable