Weight

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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 calcWeight(func: (Double) ⇒ Double, lb: Double, hb: Double): Double

   

   Given a function, finds the difference in its evaluation of two numbers.

6. def clone(): AnyRef

   

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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 finalize(): Unit

   

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

    

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11. def hashCode(): Int

    

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12. final def isInstanceOf[T0]: Boolean

    

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13. def makeJoint(wv: Vector[Weight]): Weight

    

    Generates signal weights for n-dim signal data

    Generates signal weights for n-dim signal data

    Given n marginal signal distributions and assuming independence between the distributions, a joint signal distribution is calculated and a Weight is generated.

    wv

    vector of weights for signal distributions

    returns

    weight for joint distribution

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. def reWeight(newW: List[Double], oldW: List[Double]): List[Double]

    

    Generates numbers to reweight data set given a desired and existing probability distribution over some dimension

    Generates numbers to reweight data set given a desired and existing probability distribution over some dimension

    newW

    desired distribution

    oldW

    existing distribution

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

    

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19. def testWeights(msg: String, wts: List[Double], threshold: Double = 0.95): List[Double]

    

    Determines whether the weights cover a sufficient range of the input space.

    Determines whether the weights cover a sufficient range of the input space.

    If the sum of the weights is above the threshold, the weights are returned; otherwise a exceptions.LowProbException is thrown containing the given message.

    msg

    String to pass to the exception if thrown.

    wts

    The list of weights.

    threshold

    The threshold to use to evaluate the weights.

    returns

    The list of weights.

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    Exceptions thrown

    exceptions.LowProbException if the sum of weights is less than the threshold

20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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