Esempio n. 1
0
 /*
  * Transform an observed ProbabilityVariable into a ProbabilityFunction to
  * handle the case where the query involves an observed variable.
  */
 private ProbabilityFunction transform_to_probability_function(
     BayesNet bn, ProbabilityVariable pv) {
   ProbabilityFunction pf = new ProbabilityFunction(bn, 1, pv.number_values(), null);
   pf.set_variable(0, pv);
   int index_of_value = pv.get_observed_index();
   pf.set_value(index_of_value, 1.0);
   return (pf);
 }
Esempio n. 2
0
  /**
   * Constructor for BucketTree. Does the whole initialization; it should be the only method that
   * deals with symbolic names for variables.
   */
  public BucketTree(Ordering ord, boolean dpc) {
    int i, j, markers[];
    ProbabilityFunction pf;
    ProbabilityVariable pv;
    DiscreteVariable aux_pv;
    DiscreteFunction ut;
    String order[];

    do_produce_clusters = dpc;
    ordering = ord;

    // Collect information from the Ordering object.
    bn = ord.bn;
    explanation_status = ord.explanation_status;
    order = ord.order;

    // Indicate the first bucket to process
    active_bucket = 0;

    // Check the possibility that the query has an observed variable
    i = bn.index_of_variable(order[order.length - 1]);
    pv = bn.get_probability_variable(i);
    if (pv.is_observed() == true) {
      pf = transform_to_probability_function(bn, pv);
      bucket_tree = new Bucket[1];
      bucket_tree[0] = new Bucket(this, pv, do_produce_clusters);
      insert(pf);
    } else {
      // Initialize the bucket objects
      bucket_tree = new Bucket[order.length];
      for (i = 0; i < order.length; i++) {
        j = bn.index_of_variable(order[i]);
        bucket_tree[i] = new Bucket(this, bn.get_probability_variable(j), do_produce_clusters);
      }
      // Insert the probability functions into the bucket_tree;
      // first mark all functions that are actually going
      // into the bucket_tree.
      markers = new int[bn.number_variables()];
      for (i = 0; i < order.length; i++) markers[bn.index_of_variable(order[i])] = 1;
      // Now insert functions that are marked and non-null.
      for (i = 0; i < bn.number_probability_functions(); i++) {
        if (markers[bn.get_probability_function(i).get_index(0)] == 1) {
          pf = check_evidence(bn.get_probability_function(i));
          if (pf != null) {
            aux_pv = (bn.get_probability_function(i)).get_variable(0);
            insert(pf, !pf.memberOf(aux_pv.get_index()));
          }
        }
      }
      // Insert the utility_function.
      ut = bn.get_utility_function();
      if (ut != null) insert(ut);
    }
  }