keel.Algorithms.Rule_Learning.DataSqueezer

Class Dataset

java.lang.Object

keel.Algorithms.Rule_Learning.DataSqueezer.Dataset

public class Dataset
extends java.lang.Object

Class to implement the dataset

Field Summary

Fields

Modifier and Type	Field and Description
protected java.util.Vector	attributes The attributes.
protected int	classIndex The index of the class attribute.
protected InstanceSet	IS Keel dataset InstanceSet
protected java.util.Vector	itemsets The itemsets.
protected java.lang.String	name The name of the dataset.

Constructor Summary

Constructors

Constructor and Description
Dataset(Dataset dataset) Constructor that copies another dataset.
Dataset(Dataset dataset, int capacity) Constructor to copy all the attributes of another dataset but the itemsets.
Dataset(java.lang.String name, boolean train) Function to read the .dat file that contains the information of the dataset.

Method Summary

Modifier and Type	Method and Description
void	addItemset(Itemset itemset) Function to add one itemset.
void	delete(int index) Function to remove an itemset at the given position.
void	deleteWithMissing(int attIndex) Function to remove all the attributes with missing value in the given attribute.
java.util.Enumeration	enumerateAttributes() Enumerates all the attributes.
java.util.Enumeration	enumerateItemsets() Enumerates all the itemsets.
Attribute	getAttribute(int index) Returns the attribute that has the index.
Attribute	getAttribute(java.lang.String name) Returns the attribute that has the name.
Attribute	getClassAttribute() Returns class attribute.
int	getClassIndex() Returns the index of the class attribute.
java.lang.String	getName() Returns the name of the dataset.
Itemset	itemset(int index) Returns the itemset at the given position.
Itemset	lastItemset() Returns the last itemset.
int	numAttributes() Returns the number of attributes.
int	numClasses() Returns the number of possible values of the class attribute.
int	numItemsets() Returns the number of itemsets.
void	sort(int attIndex) Function to sort the dataset based on an attribute.
double	sumOfWeights() Function to compute the sum of all the weights of the itemsets.

Methods inherited from class java.lang.Object

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

Field Detail

name

protected java.lang.String name

The name of the dataset.

attributes

protected java.util.Vector attributes

The attributes.

itemsets

protected java.util.Vector itemsets

The itemsets.

classIndex

protected int classIndex

The index of the class attribute.

IS

protected InstanceSet IS

Keel dataset InstanceSet

Constructor Detail

Dataset

public Dataset(java.lang.String name,
               boolean train)

Function to read the .dat file that contains the information of the dataset.

Parameters:

name - The reader object where the itemsets are readed.

train - The flag if the file is for training

Dataset

public Dataset(Dataset dataset)

Constructor that copies another dataset.

Parameters:

dataset - The dataset to be copied.

Dataset

public Dataset(Dataset dataset,
               int capacity)

Constructor to copy all the attributes of another dataset but the itemsets.

Parameters:

dataset - The dataset to be copied.

capacity - The number of itemsets.

Method Detail

addItemset

public final void addItemset(Itemset itemset)

Function to add one itemset.

Parameters:

itemset - The itemset to add to the dataset.

getName

public java.lang.String getName()

Returns the name of the dataset.

Returns:

the name of the dataset.

getAttribute

public final Attribute getAttribute(int index)

Returns the attribute that has the index.

Parameters:

index - The index of the attribute.

Returns:

the attribute that has the index.

getAttribute

public final Attribute getAttribute(java.lang.String name)

Returns the attribute that has the name.

Parameters:

name - The name of the attribute.

Returns:

the attribute that has the name.

getClassAttribute

public final Attribute getClassAttribute()

Returns class attribute.

Returns:

class attribute.

getClassIndex

public final int getClassIndex()

Returns the index of the class attribute.

Returns:

the index of the class attribute.

numAttributes

public final int numAttributes()

Returns the number of attributes.

Returns:

the number of attributes.

numClasses

public final int numClasses()

Returns the number of possible values of the class attribute.

Returns:

the number of possible values of the class attribute.

numItemsets

public final int numItemsets()

Returns the number of itemsets.

Returns:

the number of itemsets.

delete

public final void delete(int index)

Function to remove an itemset at the given position.

Parameters:

index - The index of the itemset to be deleted.

deleteWithMissing

public final void deleteWithMissing(int attIndex)

Function to remove all the attributes with missing value in the given attribute.

Parameters:

attIndex - The index of the attribute.

enumerateAttributes

public java.util.Enumeration enumerateAttributes()

Enumerates all the attributes.

Returns:

An enumeration that contains all the attributes.

enumerateItemsets

public final java.util.Enumeration enumerateItemsets()

Enumerates all the itemsets.

Returns:

An enumeration that contains all the itemsets.

itemset

public final Itemset itemset(int index)

Returns the itemset at the given position.

Parameters:

index - The index of the itemset.

Returns:

the itemset at the given position.

lastItemset

public final Itemset lastItemset()

Returns the last itemset.

Returns:

the last itemset.

sumOfWeights

public final double sumOfWeights()

Function to compute the sum of all the weights of the itemsets.

Returns:

The weight of all the itemsets.

sort

public final void sort(int attIndex)

Function to sort the dataset based on an attribute.

Parameters:

attIndex - The index of the attribute.