org.apache.spark.streamdm.evaluation

Evaluator

abstract class Evaluator extends Configurable with Serializable

Abstract class which defines the operations needed to evaluate learners.

Linear Supertypes
Configurable, Serializable, AnyRef, Any
Known Subclasses
BasicClassificationEvaluator, ClusteringCohesionEvaluator, ClusteringSeparationEvaluator
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Instance Constructors

  1. new Evaluator()

Abstract Value Members

  1. abstract def addResult(input: DStream[(Example, Double)]): DStream[String]

    Process the result of a predicted stream of Examples and Doubles.

    Process the result of a predicted stream of Examples and Doubles.

    input

    the input stream containing (Example,Double) tuples

    returns

    a stream of String with the processed evaluation

  2. abstract def getResult(): Double

    Get the evaluation result.

    Get the evaluation result.

    returns

    a Double containing the evaluation result

Concrete Value Members

  1. final def !=(arg0: AnyRef): Boolean

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  2. final def !=(arg0: Any): Boolean

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  3. final def ##(): Int

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  4. final def ==(arg0: AnyRef): Boolean

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  5. final def ==(arg0: Any): Boolean

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  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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  16. final def notifyAll(): Unit

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  17. final def synchronized[T0](arg0: ⇒ T0): T0

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  18. def toString(): String

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  19. final def wait(): Unit

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  20. final def wait(arg0: Long, arg1: Int): Unit

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  21. final def wait(arg0: Long): Unit

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Inherited from Configurable

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