Package edu.cmu.tetrad.search

Class TeyssierScorerExperimental

java.lang.Object
edu.cmu.tetrad.search.TeyssierScorerExperimental
public class TeyssierScorerExperimental extends Object
Implements a scorer extending Teyssier, M., and Koller, D. (2012). Ordering-based search: A simple and effective algorithm for learning Bayesian networks. arXiv preprint arXiv:1207.1429. You give it a score function and a variable ordering, and it computes the score. You can move any variable left or right, and it will keep track of the score using the Teyssier and Kohler method. You can move a variable to a new position, and you can bookmark a state and come back to it.
Author:
josephramsey, bryanandrews

  • Constructor Details

    • TeyssierScorerExperimental

      public TeyssierScorerExperimental(Score score)

  • Method Details

    • shuffleOrder

      public void shuffleOrder()

    • setOrder

      public void setOrder(Graph graph)

    • getScore

      public double getScore()

    • hasParent

      public boolean hasParent(int i, int j)

    • tuck

      public boolean tuck(int i, int j)

    • getGraph

      public Graph getGraph(boolean cpDag)

    • size

      public int size()