Package ai.libs.jaicore.search.algorithms.standard.uncertainty.paretosearch

Class CosinusDistanceComparator<T,​A,​V extends java.lang.Comparable<V>>

  • All Implemented Interfaces:
    java.util.Comparator<BackPointerPath<T,​A,​V>>
    public class CosinusDistanceComparator<T,​A,​V extends java.lang.Comparable<V>>
extends java.lang.Object
implements java.util.Comparator<BackPointerPath<T,​A,​V>>

    • Field Summary

      Fields 
      Modifier and Type Field Description
      double x1  
      double x2  

    • Method Summary

      All Methods Instance Methods Concrete Methods 
      Modifier and Type Method Description
      int compare​(BackPointerPath<T,​A,​V> first, BackPointerPath<T,​A,​V> second)
      Compares the cosine distance of two nodes to x.
      double cosineSimilarity​(double f, double u)
      Cosine similarity to x.

      • Methods inherited from class java.lang.Object

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

      • Methods inherited from interface java.util.Comparator

        equals, reversed, thenComparing, thenComparing, thenComparing, thenComparingDouble, thenComparingInt, thenComparingLong

    • Field Detail

      • x1

        public final double x1

      • x2

        public final double x2

    • Constructor Detail

      • CosinusDistanceComparator

        public CosinusDistanceComparator​(double x1,
                                 double x2)

    • Method Detail

      • compare

        public int compare​(BackPointerPath<T,​A,​V> first,
                   BackPointerPath<T,​A,​V> second)
        Compares the cosine distance of two nodes to x.
        Specified by:
        compare in interface java.util.Comparator<T>
        Parameters:
        first -
        second -
        Returns:
        negative iff first < second, 0 iff first == second, positive iff first > second

      • cosineSimilarity

        public double cosineSimilarity​(double f,
                               double u)
        Cosine similarity to x.
        Parameters:
        f -
        u -
        Returns: