class ExpFam[T, I] extends ExponentialFamily[Multinomial[T, I], I] with HasConjugatePrior[Multinomial[T, I], I]
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- HasConjugatePrior
- ExponentialFamily
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Instance Constructors
- new ExpFam(exemplar: T)(implicit space: MutableFiniteCoordinateField[T, I, Double])
Type Members
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type
ConjugatePrior = Dirichlet[T, I]
- Definition Classes
- ExpFam → HasConjugatePrior
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type
Parameter = T
- Definition Classes
- ExpFam → ExponentialFamily
- case class SufficientStatistic(counts: T) extends distributions.SufficientStatistic[SufficientStatistic] with Product with Serializable
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- protected[java.lang]
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val
conjugateFamily: Dirichlet.ExpFam[T, I]
- Definition Classes
- ExpFam → HasConjugatePrior
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def
distribution(p: Parameter): Multinomial[T, I]
- Definition Classes
- ExpFam → ExponentialFamily
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def
emptySufficientStatistic: SufficientStatistic
- Definition Classes
- ExpFam → ExponentialFamily
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final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
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def
equals(arg0: Any): Boolean
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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final
def
isInstanceOf[T0]: Boolean
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def
likelihoodFunction(stats: SufficientStatistic): DiffFunction[T]
- Definition Classes
- ExpFam → ExponentialFamily
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def
mle(stats: SufficientStatistic): T
- Definition Classes
- ExpFam → ExponentialFamily
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final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
posterior(prior: Dirichlet.ExpFam.Parameter, evidence: TraversableOnce[I]): T
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
- ExpFam → HasConjugatePrior
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def
predictive(parameter: Dirichlet.ExpFam.Parameter): Polya[Dirichlet.ExpFam.Parameter, I]
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
- ExpFam → HasConjugatePrior
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def
sufficientStatisticFor(t: I): SufficientStatistic
- Definition Classes
- ExpFam → ExponentialFamily
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final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
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def
toString(): String
- Definition Classes
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final
def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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final
def
wait(): Unit
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