io.prediction.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
Ordering
  1. Alphabetic
  2. By inheritance
Inherited
  1. StdevMetric
  2. QPAMetric
  3. StatsMetricHelper
  4. Metric
  5. Serializable
  6. Serializable
  7. AnyRef
  8. Any
  1. Hide All
  2. Show all
Learn more about member selection
Visibility
  1. Public
  2. All

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

Ungrouped