DefaultObservation

java.lang.Object

java.util.AbstractCollection<Double>

java.util.AbstractList<Double>

java.util.Vector<Double>

org.tweetyproject.machinelearning.DefaultObservation

All Implemented Interfaces:: Serializable, Cloneable, Iterable<Double>, Collection<Double>, List<Double>, RandomAccess, SequencedCollection<Double>, Observation

public class DefaultObservation extends Vector<Double> implements Observation

A default observation is a vector of double values, representing an observation for machine learning tasks.

Author:

Matthias Thimm

See Also:

Constructor Summary

Constructors

Constructor

Description

DefaultObservation()

Default constructor for the `DefaultObservation` class.
Method Summary

Modifier and Type

Method

Description

libsvm.svm_node[]

toSvmNode()

Converts this observation into an array of `svm_node` objects.

Methods inherited from class java.util.Vector
add, add, addAll, addAll, addElement, capacity, clear, clone, contains, containsAll, copyInto, elementAt, elements, ensureCapacity, equals, firstElement, forEach, get, hashCode, indexOf, indexOf, insertElementAt, isEmpty, iterator, lastElement, lastIndexOf, lastIndexOf, listIterator, listIterator, remove, remove, removeAll, removeAllElements, removeElement, removeElementAt, removeIf, replaceAll, retainAll, set, setElementAt, 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.Collection
parallelStream, stream, toArray

Methods inherited from interface java.util.List
addFirst, addLast, getFirst, getLast, removeFirst, removeLast, reversed

Methods inherited from interface org.tweetyproject.machinelearning.Observation
equals, hashCode

Constructor Details
- DefaultObservation
  
  public DefaultObservation()
  
  Default constructor for the `DefaultObservation` class.
  This constructor initializes an empty `DefaultObservation` object that can be populated with double values representing an observation.
Method Details
- toSvmNode
  
  public libsvm.svm_node[] toSvmNode()
  
  Converts this observation into an array of `svm_node` objects.
  The conversion is intended for use in SVM-based machine learning algorithms. Each value in the observation is transformed into an `svm_node` where the index corresponds to the position of the value in the vector, and the value is the actual double value.
  
  Specified by:
  
  toSvmNode in interface Observation
  
  Returns:
  
  an array of `svm_node` objects representing this observation.