Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

5.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

6.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

7.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

8.  def estimateMerits[T](pva: Iterator[(PredictionResult[T], Seq[T])], merits: Map[String, Merit[T]]): Map[String, (Double, Double)]

   Estimate a set of named merits by applying them to multiple sets of predictions and actual values

   Estimate a set of named merits by applying them to multiple sets of predictions and actual values

   The uncertainty in the estimate of each merit is calculated by looking at the variance across the batches

   pva

   predicted-vs-actual data in a series of batches

   merits

   to apply to the predicted-vs-actual data

   returns

   map from the merit name to its (value, uncertainty)

9.  def finalize(): Unit

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( classOf[java.lang.Throwable] )

10.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

11.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

12.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

13.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

14.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

15.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

16.  def plotMeritScan[T](parameterName: String, parameterValues: Seq[Double], merits: Map[String, Merit[T]], logScale: Boolean = false, yMin: Option[Double] = None, yMax: Option[Double] = None)(pvaBuilder: (Double) ⇒ Iterator[(PredictionResult[T], Seq[T])]): XYChart

    Compute merits as a function of a parameter, given a builder that takes the parameter to predicted-vs-actual data

    Compute merits as a function of a parameter, given a builder that takes the parameter to predicted-vs-actual data

    parameterName

    name of the parameter that's being scanned over

    parameterValues

    values of the parameter to try

    merits

    to apply at each parameter value

    logScale

    whether the parameters should be plotted on a log scale

    pvaBuilder

    function that takes the parameter to predicted-vs-actual data

    returns

    an XYChart that plots the merits vs the parameter value

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

    Definition Classes

    AnyRef

18.  def toString(): String

    Definition Classes

    AnyRef → Any

19.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )