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mgo.evolution

diversity

object diversity

Layer of the cake that compute a diversity metric for a set of values

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Type Members

  1. type Diversity[M[_], I] = Kleisli[M, Vector[I], Vector[Later[Double]]]

    Compute the diversity metric of the values

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. def KNearestNeighbours[M[_], I](k: Int, fitness: (I) => Vector[Double])(implicit MM: Monad[M]): Diversity[M, I]
  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  7. def crowdingDistance[I](population: Vector[I], fitness: (I) => Vector[Double], random: Random): Vector[Double]
  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: AnyRef): Boolean
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  10. final def getClass(): Class[_ <: AnyRef]
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    @native() @HotSpotIntrinsicCandidate()
  11. def hashCode(): Int
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    @native() @HotSpotIntrinsicCandidate()
  12. def hypervolumeContribution[M[_], I](referencePoint: Vector[Double], fitness: (I) => Vector[Double])(implicit arg0: Monad[M]): Diversity[M, I]
  13. final def isInstanceOf[T0]: Boolean
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  14. final def ne(arg0: AnyRef): Boolean
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  15. final def notify(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  16. final def notifyAll(): Unit
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    @native() @HotSpotIntrinsicCandidate()
  17. final def synchronized[T0](arg0: => T0): T0
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  18. def toString(): String
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  19. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  20. final def wait(arg0: Long): Unit
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    @throws(classOf[java.lang.InterruptedException]) @native()
  21. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])
  22. object Diversity

Deprecated Value Members

  1. def finalize(): Unit
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    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

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