Class

infcalcs

BWeight

Related Doc: package infcalcs

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case class BWeight(p1: Pair[Double], p2: Pair[Double], w: Double, bt: Tree[Bin]) extends Weight with Product with Serializable

Weight whose weights are bimodal and derived from the sum of two Gaussian probability distributions

p1

(mu, sigma) for the first Gaussian

p2

(mu, sigma) for the second Gaussian

w

relative weight of the first Gaussian to the second (must be between 0 and 1)

bt

Tree of Bin instances defining signal space

Linear Supertypes
Serializable, Serializable, Product, Equals, Weight, AnyRef, Any
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Inherited
  1. BWeight
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Weight
  7. AnyRef
  8. Any
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Visibility
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  2. All

Instance Constructors

  1. new BWeight(p1: Pair[Double], p2: Pair[Double], w: Double, bt: Tree[Bin])

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    p1

    (mu, sigma) for the first Gaussian

    p2

    (mu, sigma) for the second Gaussian

    w

    relative weight of the first Gaussian to the second (must be between 0 and 1)

    bt

    Tree of Bin instances defining signal space

Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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

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    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  5. val bt: Tree[Bin]

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    Tree of Bin instances defining signal space

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. def finalize(): Unit

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

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    Definition Classes
    AnyRef → Any
  10. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  11. val label: String

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    Unique label identifying the weighting function.

    Unique label identifying the weighting function.

    Definition Classes
    BWeightWeight
  12. final def ne(arg0: AnyRef): Boolean

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

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

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    Definition Classes
    AnyRef
  15. val p1: Pair[Double]

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    (mu, sigma) for the first Gaussian

  16. val p2: Pair[Double]

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    (mu, sigma) for the second Gaussian

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

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    Definition Classes
    AnyRef
  18. val w: Double

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    relative weight of the first Gaussian to the second (must be between 0 and 1)

  19. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  22. def weightTable[A](ct: CTable[A])(implicit arg0: Numeric[A]): CTable[Double]

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    Applies the weights to a infcalcs.tables.CTable, generating a new infcalcs.tables.CTable

    Applies the weights to a infcalcs.tables.CTable, generating a new infcalcs.tables.CTable

    Note that the weights must be normalized to the existing distribution of data among the row dimension of the contingency table using the Weight.reWeight function

    Definition Classes
    Weight
  23. val weights: List[Double]

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    Raw weights to be applied to data.

    Raw weights to be applied to data.

    Definition Classes
    BWeightWeight

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Weight

Inherited from AnyRef

Inherited from Any

Ungrouped