dk.bayes.dsl

epnaivebayes

package epnaivebayes

Visibility
  1. Public
  2. All

Type Members

  1. case class EPNaiveBayesFactorGraph[X](prior: SingleFactor[X], likelihoods: Seq[DoubleFactor[X, _]], paralllelMessagePassing: Boolean = false)(implicit multOp: multOp[X], divideOp: divideOp[X], isIdentical: isIdentical[X]) extends LazyLogging with Product with Serializable

    Computes posterior of X for a naive bayes net.

    Computes posterior of X for a naive bayes net. Variables: X, Y1|X, Y2|X,...Yn|X

    It run Expectation Propagation algorithm. http://en.wikipedia.org/wiki/Expectation_propagation

    paralllelMessagePassing

    If true then messages between X variable and Y variables are sent in parallel

Value Members

  1. object inferPosterior

    Computes posterior of X for a naive bayes net.

    Computes posterior of X for a naive bayes net. Variables: X, Y1|X, Y2|X,...Yn|X

Ungrouped