org.openimaj.experiment.validation

Class RandomisedPercentageHoldOut<INSTANCE>

java.lang.Object

org.openimaj.experiment.validation.DefaultValidationData<org.openimaj.data.dataset.ListDataset<INSTANCE>>

org.openimaj.experiment.validation.RandomisedPercentageHoldOut<INSTANCE>

Type Parameters:

INSTANCE - Type of the instances in the dataset

All Implemented Interfaces:

TrainSplitProvider<org.openimaj.data.dataset.ListDataset<INSTANCE>>, ValidateSplitProvider<org.openimaj.data.dataset.ListDataset<INSTANCE>>, ValidationData<org.openimaj.data.dataset.ListDataset<INSTANCE>>

public class RandomisedPercentageHoldOut<INSTANCE>
extends DefaultValidationData<org.openimaj.data.dataset.ListDataset<INSTANCE>>

Hold-Out validation that selects a percentage of the original data to use for training, and the remainder to use for validation.

Author:

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

Field Summary

Fields inherited from class org.openimaj.experiment.validation.DefaultValidationData

training, validation

Constructor Summary

Constructors

Constructor and Description
RandomisedPercentageHoldOut(double percentageTraining, org.openimaj.data.dataset.ListDataset<INSTANCE> dataset) Construct with the given dataset and percentage of training data (0..1).

Method Summary

Methods inherited from class org.openimaj.experiment.validation.DefaultValidationData

getTrainingDataset, getValidationDataset

Methods inherited from class java.lang.Object

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

Constructor Detail

RandomisedPercentageHoldOut

public RandomisedPercentageHoldOut(double percentageTraining,
                                   org.openimaj.data.dataset.ListDataset<INSTANCE> dataset)

Construct with the given dataset and percentage of training data (0..1).

Parameters:

percentageTraining - percentage of the dataset to use for training

dataset - the dataset