breeze.stats.distributions

Bernoulli

object Bernoulli extends ExponentialFamily[Bernoulli, Boolean] with HasConjugatePrior[Bernoulli, Boolean]

Linear Supertypes
HasConjugatePrior[Bernoulli, Boolean], ExponentialFamily[Bernoulli, Boolean], AnyRef, Any
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Inherited
  1. Bernoulli
  2. HasConjugatePrior
  3. ExponentialFamily
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Type Members

  1. type ConjugatePrior = Beta

    Definition Classes
    Bernoulli → HasConjugatePrior

  2. type Parameter = Double

    Definition Classes
    Bernoulli → ExponentialFamily

  3. case class SufficientStatistic(numYes: Double, n: Double) extends distributions.SufficientStatistic[SufficientStatistic] with Product with Serializable

    Definition Classes
    Bernoulli → ExponentialFamily

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 clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()

  8. val conjugateFamily: Beta.type

    Definition Classes
    Bernoulli → HasConjugatePrior

  9. def distribution(p: Double): Bernoulli

    Definition Classes
    Bernoulli → ExponentialFamily

  10. def emptySufficientStatistic: SufficientStatistic

    Definition Classes
    Bernoulli → ExponentialFamily

  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()

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

    Definition Classes
    AnyRef → Any

  15. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  16. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  17. def likelihoodFunction(stats: SufficientStatistic): DiffFunction[Double]

    Definition Classes
    Bernoulli → ExponentialFamily

  18. def mle(stats: SufficientStatistic): Double

    Definition Classes
    Bernoulli → ExponentialFamily

  19. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  20. final def notify(): Unit

    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  22. def posterior(prior: (Double, Double), evidence: TraversableOnce[Boolean]): (Double, Double)

    Gives a new parameter for this conjugate prior after observing the evidence.

    Gives a new parameter for this conjugate prior after observing the evidence. See Dirichlet for an example.

    Definition Classes
    Bernoulli → HasConjugatePrior

  23. def predictive(parameter: (Double, Double)): Polya[Counter[Boolean, Double], Boolean]

    Returns a distribtution over T's after integrating out the intermediate distributions.

    Returns a distribtution over T's after integrating out the intermediate distributions.

    Definition Classes
    Bernoulli → HasConjugatePrior

  24. def sufficientStatisticFor(t: Boolean): SufficientStatistic

    Definition Classes
    Bernoulli → ExponentialFamily

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

    Definition Classes
    AnyRef

  26. def toString(): String

    Definition Classes
    AnyRef → Any

  27. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

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

    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from HasConjugatePrior[Bernoulli, Boolean]

Inherited from ExponentialFamily[Bernoulli, Boolean]

Inherited from AnyRef

Inherited from Any

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