Combinators

Type Members

class RichKernel[T] extends AnyRef

Extension methods for kernels
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

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
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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

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

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def equals(arg0: Any): Boolean

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def finalize(): Unit

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

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def hashCode(): Int

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final def isInstanceOf[T0]: Boolean

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final def ne(arg0: AnyRef): Boolean

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final def notify(): Unit

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final def notifyAll(): Unit

Definition Classes
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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
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
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
implicit def richKernel[T](k1: (T) ⇒ Rand[T]): RichKernel[T]
implicit def richPseudoKernel[C, T, U](k1: (C, T) ⇒ Rand[U]): RichPseudoKernel[C, T, U]
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.
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(): Unit

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

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Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
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Annotations
@throws( ... )

Related Doc: package MarkovChain

object Combinators

Type Members

class RichKernel[T] extends AnyRef

class RichPseudoKernel[C, T, U] extends AnyRef

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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)]

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)]

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

implicit def richKernel[T](k1: (T) ⇒ Rand[T]): RichKernel[T]

implicit def richPseudoKernel[C, T, U](k1: (C, T) ⇒ Rand[U]): RichPseudoKernel[C, T, U]

def seqKernel[T](trans: (Seq[T], Int) ⇒ Rand[T]): (Seq[T]) ⇒ Rand[Seq[T]]

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from AnyRef

Inherited from Any

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