Class/Object

org.apache.predictionio.controller

MetricEvaluator

Related Docs: object MetricEvaluator | package controller

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class MetricEvaluator[EI, Q, P, A, R] extends BaseEvaluator[EI, Q, P, A, MetricEvaluatorResult[R]]

:: DeveloperApi :: Do no use this directly. Use MetricEvaluator$ instead. This is an implementation of org.apache.predictionio.core.BaseEvaluator that evaluates prediction performance based on metric scores.

EI

Evaluation information type

Q

Query class

P

Predicted result class

A

Actual result class

R

Metric result class

Annotations
@DeveloperApi()
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Inherited
  1. MetricEvaluator
  2. BaseEvaluator
  3. AbstractDoer
  4. Serializable
  5. Serializable
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Visibility
  1. Public
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Instance Constructors

  1. new MetricEvaluator(metric: Metric[EI, Q, P, A, R], otherMetrics: Seq[Metric[EI, Q, P, A, _]], outputPath: Option[String])

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    metric

    Primary metric

    otherMetrics

    Other metrics

    outputPath

    Optional output path to save evaluation results

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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. val engineInstances: EngineInstances

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

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  8. def equals(arg0: Any): Boolean

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  9. def evaluateBase(sc: SparkContext, evaluation: Evaluation, engineEvalDataSet: Seq[(EngineParams, Seq[(EI, RDD[(Q, P, A)])])], params: WorkflowParams): MetricEvaluatorResult[R]

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    :: DeveloperApi :: Engine developers should not use this directly.

    :: DeveloperApi :: Engine developers should not use this directly. This is called by evaluation workflow to perform evaluation.

    sc

    Spark context

    evaluation

    Evaluation to run

    engineEvalDataSet

    Sets of engine parameters and data for evaluation

    params

    Evaluation workflow parameters

    returns

    Evaluation result

    Definition Classes
    MetricEvaluatorBaseEvaluator
  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  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. lazy val logger: Logger

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  15. val metric: Metric[EI, Q, P, A, R]

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    Primary metric

  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. val otherMetrics: Seq[Metric[EI, Q, P, A, _]]

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    Other metrics

  20. val outputPath: Option[String]

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    Optional output path to save evaluation results

  21. def saveEngineJson(evaluation: Evaluation, engineParams: EngineParams, outputPath: String): Unit

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

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  23. def toString(): String

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  24. final def wait(): Unit

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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  26. final def wait(arg0: Long): Unit

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Inherited from BaseEvaluator[EI, Q, P, A, MetricEvaluatorResult[R]]

Inherited from AbstractDoer

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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