Packages

t

cardano.discrete

DiscreteDistributions

trait DiscreteDistributions extends Distributions

This trait implements some standard discrete distributions.

Self Type
DiscreteDistributions
Linear Supertypes
Distributions, AnyRef, Any
Known Subclasses
AllDistributions, Stochastic
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Abstract Value Members

  1. abstract def randomGenerator: RandomGenerator
    Attributes
    protected
    Definition Classes
    Distributions

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def choose[A](distribution: Seq[(A, Prob)])(implicit ev: (DenseVector[Double]) ⇒ QuasiTensor[Int, Double], sumImpl: breeze.linalg.sum.Impl[DenseVector[Double], Double]): Stochastic[A]

    Creates a random variable that samples from the discrete distribution given as input.

    Creates a random variable that samples from the discrete distribution given as input.

    A

    the concrete type of the random variable

    distribution

    a discrete distribution given as a (finite) sequence of (value, probability) pairs

    ev

    Breeze internals

    sumImpl

    Breeze internals

    returns

    a random variable that samples from the discrete distribution given as input

  6. def clone(): AnyRef
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def coin: Stochastic[Boolean]

    See coin.

  8. def coin(p: Prob = 0.5): Stochastic[Boolean]

    Creates a Bernoulli random variable.

    Creates a Bernoulli random variable.

    p

    the probability of a positive outcome

    returns

    a Bernoulli random variable

  9. def constant[A](a: A): Stochastic[A]

    Creates a random variable that is constant.

    Creates a random variable that is constant.

    A

    the concrete type of this random variable

    a

    the value of this constant random variable

    returns

    a constant random variable

    Definition Classes
    Distributions
  10. def discreteUniform(n: Int): Stochastic[Int]

    Creates a random variable that samples uniformly from 0 to n excluded.

    Creates a random variable that samples uniformly from 0 to n excluded.

    n

    the number of values that the random variables can take

    returns

    a random variable that samples uniformly from 0 to n excluded

  11. def discreteUniform[A](values: Seq[A]): Stochastic[A]

    Creates a random variable that samples uniformly from the values given as input.

    Creates a random variable that samples uniformly from the values given as input.

    A

    the concrete type of the random variable

    values

    values from which to sample

    returns

    a random variable that samples uniformly from the values given as input

  12. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  13. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  14. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  15. def fromMass(mass: Seq[Prob]): Stochastic[Int]

    Creates a random variable that samples from the first natural numbers with probabilities given by mass.

    Creates a random variable that samples from the first natural numbers with probabilities given by mass.

    mass

    a discrete distribution on the first natural numbers given as probabilities

    returns

    a random variable that samples from the first natural numbers with probabilities given by mass

  16. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
  17. def hashCode(): Int
    Definition Classes
    AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  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. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  23. def toString(): String
    Definition Classes
    AnyRef → Any
  24. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Distributions

Inherited from AnyRef

Inherited from Any

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