object Decompose extends Serializable
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- Decompose.scala
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def
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def
##(): Int
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final
def
==(arg0: Any): Boolean
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final
def
apply[M[_], R](implicit W: Decompose[M, R]): Decompose[M, R]
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final
def
asInstanceOf[T0]: T0
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- implicit val categoricalDouble: Decompose[Categorical, Double]
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finalize(): Unit
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def
getClass(): Class[_]
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def
hashCode(): Int
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- implicit def id[R](implicit R: Ring[R]): Decompose[Id, R]
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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final
def
notifyAll(): Unit
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- implicit def rcatDouble(implicit n: Numeric[Real]): Decompose[Categorical, Double]
- implicit val rcatReal: Decompose[Categorical, Real]
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def
synchronized[T0](arg0: ⇒ T0): T0
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def
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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ScalaRL
This is the API documentation for the ScalaRL functional reinforcement learning library.
Further documentation for ScalaRL can be found at the documentation site.
Check out the ScalaRL package list for all the goods.