Type Members

1.  case class Conditional1[A, B](value: A, condition: B) extends Product with Serializable
2.  case class Conditional2[A, B](value: A, prior: Distribution[B]) extends Product with Serializable
3.  case class ConditionalDistribution[A, B](domainV1: Set[A], domainV2: Set[B], distribution: Map[(A, B), Double]) extends Product with Serializable

   Implements a generic conditional probability distribution for two variables:

   Implements a generic conditional probability distribution for two variables:

   pr(V1|V2)

   . The probabilities are represented by Double for increased accuracy. pr(V1|V2) }}} The probabilities are represented by Double for increased accuracy.

   A

   The type of variable 1.

   B

   The type of variable 2.

   domainV1

   The domain of variable 1

   V1

   domainV2

   The domain of variable 2

   V2

   distribution

   The probabilities for each value in the domain.

4.  case class Distribution[A](domain: Set[A], distribution: Map[A, Double]) extends Product with Serializable

   Implements a generic probability distribution.

   Implements a generic probability distribution. The probabilities are represented by Double for increased accuracy.

   A

   The type of the domain.

   domain

   The set of values that span this distribution.

   distribution

   The probabilities for each value in the domain.