org.apache.predictionio.controller

StdevMetric

abstract class StdevMetric[EI, Q, P, A] extends Metric[EI, Q, P, A, Double] with StatsMetricHelper[EI, Q, P, A] with QPAMetric[Q, P, A, Double]

Returns the global standard deviation of the score returned by the calculate method

This method uses org.apache.spark.util.StatCounter library, a one pass method is used for calculation

EI

Evaluation information

Q

Query

P

Predicted result

A

Actual result

Linear Supertypes
QPAMetric[Q, P, A, Double], StatsMetricHelper[EI, Q, P, A], Metric[EI, Q, P, A, Double], Serializable, Serializable, AnyRef, Any
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Inherited
  1. StdevMetric
  2. QPAMetric
  3. StatsMetricHelper
  4. Metric
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
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Visibility
  1. Public
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Instance Constructors

  1. new StdevMetric()

Abstract Value Members

  1. abstract def calculate(q: Q, p: P, a: A): Double

    Implement this method to return a score that will be used for calculating the stdev across all QPA tuples.

    Implement this method to return a score that will be used for calculating the stdev across all QPA tuples.

    q

    Query

    p

    Predicted result

    a

    Actual result

    returns

    Metric result

    Definition Classes
    StdevMetricQPAMetric → StatsMetricHelper

Concrete Value Members

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

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

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  7. def calculate(sc: SparkContext, evalDataSet: Seq[(EI, RDD[(Q, P, A)])]): Double

    Calculates the result of this Metric.

    Calculates the result of this Metric.

    Definition Classes
    StdevMetricMetric
  8. def calculateStats(sc: SparkContext, evalDataSet: Seq[(EI, RDD[(Q, P, A)])]): StatCounter

    Definition Classes
    StatsMetricHelper
  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  10. def compare(r0: Double, r1: Double): Int

    Comparison function for R's ordering.

    Comparison function for R's ordering.

    Definition Classes
    Metric
  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any
  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  16. def header: String

    Class name of this Metric.

    Class name of this Metric.

    Definition Classes
    Metric
  17. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  18. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  19. final def notify(): Unit

    Definition Classes
    AnyRef
  20. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  21. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  22. def toString(): String

    Definition Classes
    AnyRef → Any
  23. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from QPAMetric[Q, P, A, Double]

Inherited from StatsMetricHelper[EI, Q, P, A]

Inherited from Metric[EI, Q, P, A, Double]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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