Package edu.cmu.tetrad.bayes

Interface ManipulatingBayesUpdater

All Superinterfaces:
BayesUpdater, Serializable, TetradSerializable
All Known Implementing Classes:
ApproximateUpdater, CptInvariantUpdater, Identifiability, JunctionTreeUpdater, RowSummingExactUpdater
public interface ManipulatingBayesUpdater extends BayesUpdater
Interface for a Bayes updating algorithm that's capable of doing manipulation. In general, manipulating a variable X will eliminate edges into X, so the updating operation on the manipulated model will produce different results.
Version:
$Id: $Id
Author:
josephramsey

  • Field Details

    • serialVersionUID

      static final long serialVersionUID
      Constant serialVersionUID=23L
      See Also:

  • Method Details

    • getManipulatedBayesIm

      BayesIm getManipulatedBayesIm()
      Returns the manipulated Bayes IM. This is the Bayes IM in which the variables in the manipulation have been removed from the graph.
      Returns:
      the Bayes instantiated model after manipulations have been applied.

    • getManipulatedGraph

      Graph getManipulatedGraph()
      Returns the manipulated graph. This is the graph in which the variables in the manipulation have been removed from the graph.
      Returns:
      the graph for the manipulated BayesIm.

    • getEvidence

      Evidence getEvidence()
      Returns the manipulation that was used to manipulate the Bayes IM.
      Returns:
      a defensive copy of the evidence.

    • setEvidence

      void setEvidence(Evidence evidence)
      Sets new evidence for the updater. Once this is called, old updating results should not longer be available.

      Sets new evidence for the updater. Once this is called, old updating results should not longer be available.

      Specified by:
      setEvidence in interface BayesUpdater
      Parameters:
      evidence - evidence

    • getUpdatedBayesIm

      BayesIm getUpdatedBayesIm()
      Returns the updated Bayes IM. This is the Bayes IM in which all probabilities of variables conditional on their parents have been updated.
      Returns:
      the updated Bayes IM--that is, the Bayes IM in which all probabilities of variables conditional on their parents have been updated.

    • getMarginal

      double getMarginal(int variable, int category)
      Returns the marginal probability of the given variable taking the given value, given the evidence.

      Returns the updated graph. This is the graph in which all probabilities of variables conditional on their parents have been updated.

      Specified by:
      getMarginal in interface BayesUpdater
      Parameters:
      variable - variable index
      category - category index
      Returns:
      P(variable = value | evidence), where evidence is getEvidence().