gov.sandia.cognition.learning.data

Class DefaultPartitionedDataset<DataType>

java.lang.Object

gov.sandia.cognition.learning.data.DefaultPartitionedDataset<DataType>

Type Parameters:

DataType - The type of the data in the dataset.

All Implemented Interfaces:

PartitionedDataset<DataType>

public class DefaultPartitionedDataset<DataType>
extends java.lang.Object
implements PartitionedDataset<DataType>

The PartitionedDataset class provides a simple container for the training and testing datasets to be held together.

Since:

3.0

Author:

Justin Basilico, Kevin R. Dixon

Constructor Summary

Constructors

Constructor and Description
DefaultPartitionedDataset(java.util.Collection<DataType> trainingSet, java.util.Collection<DataType> testingSet) Creates a new instance of PartitionedDataset.

Method Summary

Modifier and Type	Method and Description
static <DataType> DefaultPartitionedDataset<DataType>	create(java.util.Collection<DataType> trainingSet, java.util.Collection<DataType> testingSet) Convenience method to create a new DefaultPartitionedDataset from the two given collections.
java.util.Collection<DataType>	getTestingSet() Gets the testing dataset.
java.util.Collection<DataType>	getTrainingSet() Gets the training dataset.
protected void	setTestingSet(java.util.Collection<DataType> testingSet) Sets the testing set.
protected void	setTrainingSet(java.util.Collection<DataType> trainingSet) Sets the training set.

Methods inherited from class java.lang.Object

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

Constructor Detail

DefaultPartitionedDataset

public DefaultPartitionedDataset(java.util.Collection<DataType> trainingSet,
                                 java.util.Collection<DataType> testingSet)

Creates a new instance of PartitionedDataset.

Parameters:

trainingSet - The training set.

testingSet - The testing set.

Method Detail

getTrainingSet

public java.util.Collection<DataType> getTrainingSet()

Description copied from interface: PartitionedDataset

Gets the training dataset.

Specified by:

getTrainingSet in interface PartitionedDataset<DataType>

Returns:

The training dataset.

getTestingSet

public java.util.Collection<DataType> getTestingSet()

Description copied from interface: PartitionedDataset

Gets the testing dataset.

Specified by:

getTestingSet in interface PartitionedDataset<DataType>

Returns:

The testing dataset.

setTrainingSet

protected void setTrainingSet(java.util.Collection<DataType> trainingSet)

Sets the training set.

Parameters:

trainingSet - The new training set.

setTestingSet

protected void setTestingSet(java.util.Collection<DataType> testingSet)

Sets the testing set.

Parameters:

testingSet - The new testing set.

create

public static <DataType> DefaultPartitionedDataset<DataType> create(java.util.Collection<DataType> trainingSet,
                                                                    java.util.Collection<DataType> testingSet)

Convenience method to create a new DefaultPartitionedDataset from the two given collections.

Type Parameters:

DataType - The type of the data in the dataset.

Parameters:

trainingSet - The training set.

testingSet - The testing set.

Returns:

A new default partitioned dataset with the given training and testing sets.