net.sf.tweety.machinelearning

Class TrainingSet<S extends Observation,T extends Category>

java.lang.Object

java.util.AbstractCollection<E>

java.util.AbstractSet<E>

java.util.HashSet<net.sf.tweety.commons.util.Pair<S,T>>

net.sf.tweety.machinelearning.TrainingSet<S,T>

Type Parameters:

S - The type of the observations.

T - The type of the categories.

All Implemented Interfaces:

Serializable, Cloneable, Iterable<net.sf.tweety.commons.util.Pair<S,T>>, Collection<net.sf.tweety.commons.util.Pair<S,T>>, Set<net.sf.tweety.commons.util.Pair<S,T>>

public class TrainingSet<S extends Observation,T extends Category>
extends HashSet<net.sf.tweety.commons.util.Pair<S,T>>

A set of observations together with their category.

Author:

Matthias Thimm

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
TrainingSet()

Method Summary

Modifier and Type	Method and Description
boolean	add(S obs, T cat) Adds the specified elements as a pair to this set if it is not already present.
Collection<T>	getCategories() Returns the collection of categories present in this training set.
TrainingSet<S,T>	getObservations(T cat) Returns all observations of the given category.
static TrainingSet<DefaultObservation,DoubleCategory>	loadLibsvmTrainingFile(File file) Loads a training file in LIBSVM syntax
libsvm.svm_problem	toLibsvmProblem() Returns a svm_problem (the data data model of libsvm) of this training set.

Methods inherited from class java.util.HashSet

add, clear, clone, contains, isEmpty, iterator, remove, size, spliterator

Methods inherited from class java.util.AbstractSet

equals, hashCode, removeAll

Methods inherited from class java.util.AbstractCollection

addAll, containsAll, retainAll, toArray, toArray, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.Set

addAll, containsAll, equals, hashCode, removeAll, retainAll, toArray, toArray

Methods inherited from interface java.util.Collection

parallelStream, removeIf, stream

Methods inherited from interface java.lang.Iterable

forEach

Constructor Detail

TrainingSet

public TrainingSet()

Method Detail

add

public boolean add(S obs,
                   T cat)

Adds the specified elements as a pair to this set if it is not already present. More formally, adds the specified element e to this set if this set contains no element e2 such that (e==null ? e2==null : e.equals(e2)). If this set already contains the element, the call leaves the set unchanged and returns false.

Parameters:

obs - some observation

cat - the category of the observation.

Returns:

see above.

getCategories

public Collection<T> getCategories()

Returns the collection of categories present in this training set.

Returns:

a set of categories.

getObservations

public TrainingSet<S,T> getObservations(T cat)

Returns all observations of the given category.

Parameters:

cat - a category

Returns:

all observations of the given category.

toLibsvmProblem

public libsvm.svm_problem toLibsvmProblem()

Returns a svm_problem (the data data model of libsvm) of this training set.

Returns:

a svm_problem (the data data model of libsvm) of this training set.

loadLibsvmTrainingFile

public static TrainingSet<DefaultObservation,DoubleCategory> loadLibsvmTrainingFile(File file)
                                                                             throws NumberFormatException,
                                                                                    IOException

Loads a training file in LIBSVM syntax

Parameters:

file - some file

Returns:

a training set.

Throws:

IOException - if some IO exception occurs.

NumberFormatException - if the format of the file is not valid.