Dataset

java.lang.Object
- keel.Algorithms.ImbalancedClassification.CSMethods.C45CS.Dataset

```
public class Dataset
extends java.lang.Object
```
Class to implement the dataset

Since:

JDK 1.5

Version:

0.1

Author:

Written by Cristobal Romero (Universidad de Cordoba) 10/10/2007, Modified by Victoria Lopez (Universidad de Granada) 17/05/10

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

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`addItemset(Itemset itemset)` Function to add one itemset.
`void`	`computeItemsetWeights()` Changes the weights for the instances in the dataset accordingly to the data distribution
`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.
`double`	`negative_cost()` Computes the cost for a instance from the negative class
`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.
`int`	`positive_class()` Obtains the index of the positive class in the dataset
`double`	`positive_cost()` Computes the cost for a instance from the positive class
`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.
  - computeItemsetWeights
```
public void computeItemsetWeights()
```
    Changes the weights for the instances in the dataset accordingly to the data distribution
  - positive_cost
```
public double positive_cost()
```
    Computes the cost for a instance from the positive class
    
    Returns:
    
    the cost of a positive instance
  - negative_cost
```
public double negative_cost()
```
    Computes the cost for a instance from the negative class
    
    Returns:
    
    the cost of a positive instance
  - positive_class
```
public int positive_class()
```
    Obtains the index of the positive class in the dataset
    
    Returns:
    
    the index of the positive class

Class Dataset

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

name

attributes

itemsets

classIndex

IS

Constructor Detail

Dataset

Dataset

Dataset

Method Detail

addItemset

getName

getAttribute

getAttribute

getClassAttribute

getClassIndex

numAttributes

numClasses

numItemsets

delete

deleteWithMissing

enumerateAttributes

enumerateItemsets

itemset

lastItemset

sumOfWeights

sort

computeItemsetWeights

positive_cost

negative_cost

positive_class