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object Combinators

Combinators for creating transition kernels from other kernels or things that are not quite transition kernels. A kernel is a fn of type T=<Rand[T]

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  1. class RichKernel [T] extends AnyRef

    Extension methods for kernels

  2. class RichPseudoKernel [C, T, U] extends AnyRef

    Extension methods for pseudo-kernels A pseudo-kernel is a method of type (C,T)=<Rand[U], with C being a context type

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  15. def promoteTuple[T1, T2, T3, U1, U2, U3, T4, U4](k1: (T1, T2, T3, T4) ⇒ Rand[U1], k2: (U1, T2, T3, T4) ⇒ Rand[U2], k3: (U1, U2, T3, T4) ⇒ Rand[U3], k4: (U1, U2, U3, T4) ⇒ Rand[U4]): ((T1, T2, T3, T4)) ⇒ Rand[(U1, U2, U3, U4)]

    Tupleization of nearly-transition kernels to produce a kernel for tuples

  16. def promoteTuple[T1, T2, T3, U1, U2, U3](k1: (T1, T2, T3) ⇒ Rand[U1], k2: (U1, T2, T3) ⇒ Rand[U2], k3: (U1, U2, T3) ⇒ Rand[U3]): ((T1, T2, T3)) ⇒ Rand[(U1, U2, U3)]

    Tupleization of nearly-transition kernels to produce a kernel for tuples

  17. def promoteTuple[A, B, C, D](k1: (A, B) ⇒ Rand[C], k2: (C, B) ⇒ Rand[D]): ((A, B)) ⇒ Rand[(C, D)]

    Tupleization of nearly-transition kernels to produce a transition kernel for tuples

  18. implicit def richKernel[T](k1: (T) ⇒ Rand[T]): RichKernel[T]
  19. implicit def richPseudoKernel[C, T, U](k1: (C, T) ⇒ Rand[U]): RichPseudoKernel[C, T, U]
  20. def seqKernel[T](trans: (Seq[T], Int) ⇒ Rand[T]): (Seq[T]) ⇒ Rand[Seq[T]]

    Creates a transition kernel over a sequence, given the ability to do one index at a time.

    Creates a transition kernel over a sequence, given the ability to do one index at a time. Useful for sequence models with a markov assumption.

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