medusa.georgios.enhanced_mcl

Class DefaultDataset

java.lang.Object

java.util.AbstractCollection<E>

java.util.AbstractList<E>

java.util.Vector<Instance>

medusa.georgios.enhanced_mcl.DefaultDataset

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.lang.Iterable<Instance>, java.util.Collection<Instance>, java.util.List<Instance>, java.util.RandomAccess, Dataset

public class DefaultDataset
extends java.util.Vector<Instance>
implements Dataset

Provides a standard data set implementation.

See Also:

Dataset, Serialized Form

Constructor Summary

Constructors

Constructor and Description
DefaultDataset()
DefaultDataset(java.util.Collection<Instance> coll)

Method Summary

Modifier and Type	Method and Description
boolean	add(Instance e) Add an instance to this data set.
void	add(int index, Instance e)
boolean	addAll(java.util.Collection<? extends Instance> c)
boolean	addAll(int index, java.util.Collection<? extends Instance> c)
void	addElement(Instance e)
java.util.SortedSet<java.lang.Object>	classes() Returns a set containing all different classes in this data set.
int	classIndex(java.lang.Object clazz) Returns the index of the class value in the supplied data set.
java.lang.Object	classValue(int index)
void	clear()
Dataset[]	folds(int numFolds, java.util.Random rg) Create a number of folds from the data set and return them.
void	insertElementAt(Instance e, int index)
Instance	instance(int index) Get the instance with a certain index.
java.util.Set<Instance>	kNearest(int k, Instance inst) Returns the k instances of the given data set that are the closest to the instance that is given as a parameter.
int	noAttributes() The number of attributes in each instance.
void	setElementAt(Instance e, int index)

Methods inherited from class java.util.Vector

capacity, clone, contains, containsAll, copyInto, elementAt, elements, ensureCapacity, equals, firstElement, forEach, get, hashCode, indexOf, indexOf, isEmpty, iterator, lastElement, lastIndexOf, lastIndexOf, listIterator, listIterator, remove, remove, removeAll, removeAllElements, removeElement, removeElementAt, removeIf, replaceAll, retainAll, set, setSize, size, sort, spliterator, subList, toArray, toArray, toString, trimToSize

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.List

contains, containsAll, equals, get, hashCode, indexOf, isEmpty, iterator, lastIndexOf, listIterator, listIterator, remove, remove, removeAll, replaceAll, retainAll, set, size, sort, spliterator, subList, toArray, toArray

Methods inherited from interface java.util.Collection

parallelStream, removeIf, stream

Methods inherited from interface java.lang.Iterable

forEach

Constructor Detail

DefaultDataset

public DefaultDataset(java.util.Collection<Instance> coll)

DefaultDataset

public DefaultDataset()

Method Detail

addAll

public boolean addAll(java.util.Collection<? extends Instance> c)

Specified by:

addAll in interface java.util.Collection<Instance>

Specified by:

addAll in interface java.util.List<Instance>

Overrides:

addAll in class java.util.Vector<Instance>

addAll

public boolean addAll(int index,
                      java.util.Collection<? extends Instance> c)

Specified by:

addAll in interface java.util.List<Instance>

Overrides:

addAll in class java.util.Vector<Instance>

clear

public void clear()

Specified by:

clear in interface java.util.Collection<Instance>

Specified by:

clear in interface java.util.List<Instance>

Overrides:

clear in class java.util.Vector<Instance>

add

public boolean add(Instance e)

Description copied from interface: Dataset

Add an instance to this data set. The compatibility of the new item with the items in the data set should be checked by the implementation. Incompatible items should not be added to the data set.

Specified by:

add in interface java.util.Collection<Instance>

Specified by:

add in interface java.util.List<Instance>

Specified by:

add in interface Dataset

Overrides:

add in class java.util.Vector<Instance>

Parameters:

e - the instance to be added

Returns:

true if the instance was added, otherwise false

add

public void add(int index,
                Instance e)

Specified by:

add in interface java.util.List<Instance>

Overrides:

add in class java.util.Vector<Instance>

addElement

public void addElement(Instance e)

Overrides:

addElement in class java.util.Vector<Instance>

insertElementAt

public void insertElementAt(Instance e,
                            int index)

Overrides:

insertElementAt in class java.util.Vector<Instance>

setElementAt

public void setElementAt(Instance e,
                         int index)

Overrides:

setElementAt in class java.util.Vector<Instance>

instance

public Instance instance(int index)

Description copied from interface: Dataset

Get the instance with a certain index.

Specified by:

instance in interface Dataset

Parameters:

index - the index of the instance you want to retrieve.

Returns:

classes

public java.util.SortedSet<java.lang.Object> classes()

Description copied from interface: Dataset

Returns a set containing all different classes in this data set. If no classes are available, this will return the empty set.

Specified by:

classes in interface Dataset

Returns:

kNearest

public java.util.Set<Instance> kNearest(int k,
                                        Instance inst)

Returns the k instances of the given data set that are the closest to the instance that is given as a parameter.

Specified by:

kNearest in interface Dataset

Parameters:

dm - the distance measure used to calculate the distance between instances

inst - the instance for which we need to find the closest

Returns:

the instances from the supplied data set that are closest to the supplied instance

folds

public Dataset[] folds(int numFolds,
                       java.util.Random rg)

Description copied from interface: Dataset

Create a number of folds from the data set and return them. The supplied random generator is used to determine which instances are assigned to each of the folds.

Specified by:

folds in interface Dataset

Parameters:

numFolds - the number of folds to create

rg - the random generator

Returns:

an array of data sets that contains numFolds data sets.

noAttributes

public int noAttributes()

Description copied from interface: Dataset

The number of attributes in each instance. This value can be off when instances have different number of attributes. When the data set contains no instances, this method should return 0.

Specified by:

noAttributes in interface Dataset

Returns:

classIndex

public int classIndex(java.lang.Object clazz)

Description copied from interface: Dataset

Returns the index of the class value in the supplied data set. This method will return -1 if the class value of this instance is not set.

Specified by:

classIndex in interface Dataset

Returns:

the index of the class value

classValue

public java.lang.Object classValue(int index)

Specified by:

classValue in interface Dataset