Package edu.cmu.tetrad.bayes

Class StoredCellProbs

java.lang.Object
edu.cmu.tetrad.bayes.StoredCellProbs
All Implemented Interfaces:
TetradSerializable, Serializable
public final class StoredCellProbs extends Object implements TetradSerializable

Creates a table of stored cell probabilities for the given list of variables. Since for a moderate number of variables and for a moderate number of values per variables this could get to be a very large table, it might not be a good idea to use this class except for unit testing.> 0

Version:
$Id: $Id
Author:
josephramsey
See Also:

  • Method Details

    • createRandomCellTable

      public static StoredCellProbs createRandomCellTable(List<Node> variables)

      createRandomCellTable.

      Parameters:
      variables - a List object
      Returns:
      a StoredCellProbs object

    • createCellTable

      public static StoredCellProbs createCellTable(BayesIm bayesIm)

      createCellTable.

      Parameters:
      bayesIm - a BayesIm object
      Returns:
      a StoredCellProbs object

    • serializableInstance

      public static StoredCellProbs serializableInstance()
      Generates a simple exemplar of this class to test serialization.
      Returns:
      a StoredCellProbs object

    • getCellProb

      public double getCellProb(int[] variableValues)

      getCellProb.

      Parameters:
      variableValues - an array of int objects
      Returns:
      the probability for the given cell, specified as a particular combination of variable values, for the list of variables (in order) returned by get

    • getProb

      public double getProb(Proposition assertion)
      Calculates the probability for the given proposition assertion.
      Parameters:
      assertion - The proposition assertion for which to calculate the probability.
      Returns:
      The probability for the given proposition assertion.

    • getConditionalProb

      public double getConditionalProb(Proposition assertion, Proposition condition)
      Calculates the conditional probability of an assertion given a condition.
      Parameters:
      assertion - the proposition assertion for which to calculate the probability
      condition - the proposition condition
      Returns:
      the conditional probability of the assertion given the condition
      Throws:
      IllegalArgumentException - if the assertion and condition are not for the same Bayes IM

    • getVariables

      public List<Node> getVariables()

      Getter for the field variables.

      Returns:
      a List object

    • toString

      public String toString()

      toString.

      Overrides:
      toString in class Object
      Returns:
      a String object