trait
Distance[T] extends AnyRef
Abstract Value Members
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abstract
def
distance(that: T): Double
Concrete Value Members
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final
def
!=(arg0: AnyRef): Boolean
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: AnyRef): Boolean
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
Inherited from AnyRef
Inherited from Any
Trait Distance
Classes that are used as decision parents in the approximate decision strategies (i.e., they use Nearest Neighbor querying to compute optimal decisions) must implement the Distance trait. This is so that the distance between two parent values can be easily computed.
For the built in classes Double, Int and Boolean, implicit conversions to Distance are already provided, and the user does not need to do anything. The default also handles two tuple parents of the same base type using the L2 distance
For any user defined types as a parent, they must implement the Distance trait, and define the function distance(that:T) which defines how to compute the distance between two instances of the class. If a user uses any combination of tuples other than 2-tuples of Int, Boolean or Double, they must define the tuple distance as well. See TupleDistance2 below for an example.