keel.Algorithms.Preprocess.NoiseFilters.IterativePartitioningFilter

Class PartitionScheme

java.lang.Object

keel.Algorithms.Preprocess.NoiseFilters.IterativePartitioningFilter.PartitionScheme

public class PartitionScheme
extends java.lang.Object

This class implements a stratified scheme (equal number of examples of each class in each partition) to partition a dataset

Since:

JDK1.6

Version:

1.0

Author:

Written by Jose A. Saez Munoz, research group SCI2S (Soft Computing and Intelligent Information Systems). DECSAI (DEpartment of Computer Science and Artificial Intelligence), University of Granada - Spain. Date: 06/01/10

Constructor Summary

Constructors

Constructor and Description
PartitionScheme(java.lang.String source_file, int np) It reads the training set and creates the partitions

Method Summary

Modifier and Type	Method and Description
void	createPartitionFiles() It creates the files of each training and test partition
void	deletePartitionFiles() It deletes the files of each training and test partition
Instance[]	getInstances() It returns all the original instances
int	getPartitionOfInstance(int instanceIndex) Returns the partition where the instance with the given index belongs to.
java.util.Vector[]	getPartitions() It returns the indeces of the original instances in all partitions
Instance[]	getTestPartition(int num) It returns the test partition specified
Instance[]	getTrainPartition(int num) It returns the training partition specified

Methods inherited from class java.lang.Object

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

Constructor Detail

PartitionScheme

public PartitionScheme(java.lang.String source_file,
                       int np)

It reads the training set and creates the partitions

Parameters:

source_file - Training data filename.

np - number of partitions.

Method Detail

getTrainPartition

public Instance[] getTrainPartition(int num)

It returns the training partition specified

Parameters:

num - number of the partition

Returns:

the training partition

getTestPartition

public Instance[] getTestPartition(int num)

It returns the test partition specified

Parameters:

num - number of the partition

Returns:

the test partition

getInstances

public Instance[] getInstances()

It returns all the original instances

Returns:

the instances

getPartitions

public java.util.Vector[] getPartitions()

It returns the indeces of the original instances in all partitions

Returns:

the indeces of the original instances in all partitions

createPartitionFiles

public void createPartitionFiles()

It creates the files of each training and test partition

deletePartitionFiles

public void deletePartitionFiles()

It deletes the files of each training and test partition

getPartitionOfInstance

public int getPartitionOfInstance(int instanceIndex)

Returns the partition where the instance with the given index belongs to.

Parameters:

instanceIndex - given instance's index.

Returns:

the partition where the instance with the given index belongs to.