Package cc.mallet.grmm.inference

Examples of cc.mallet.grmm.inference.JunctionTreeInferencer.computeMarginals()

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   *  If the model is intractable, then this method won't return a number anytime soon.
   */
  public static double entropy (FactorGraph mdl)
  {
    JunctionTreeInferencer inf = new JunctionTreeInferencer ();
    inf.computeMarginals (mdl);
    JunctionTree jt = inf.lookupJunctionTree ();
    return jt.entropy ();
  }

  /**
 
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   * @return KL(mdl1||mdl2)
   */
  public static double KL (FactorGraph mdl1, FactorGraph mdl2)
  {
    JunctionTreeInferencer inf1 = new JunctionTreeInferencer ();
    inf1.computeMarginals (mdl1);
    JunctionTree jt1 = inf1.lookupJunctionTree ();

    JunctionTreeInferencer inf2 = new JunctionTreeInferencer ();
    inf2.computeMarginals (mdl2);
    JunctionTree jt2 = inf2.lookupJunctionTree ();
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    JunctionTreeInferencer inf1 = new JunctionTreeInferencer ();
    inf1.computeMarginals (mdl1);
    JunctionTree jt1 = inf1.lookupJunctionTree ();

    JunctionTreeInferencer inf2 = new JunctionTreeInferencer ();
    inf2.computeMarginals (mdl2);
    JunctionTree jt2 = inf2.lookupJunctionTree ();

    double entropy = jt1.entropy ();
    double energy = 0;
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    }

    // STEP 2: Compute marginals

    Inferencer inf = new JunctionTreeInferencer ();
    inf.computeMarginals (mdl);

    // STEP 3: Collect the results
    //   We'll just print them out

    for (int varnum = 0; varnum < allVars.length; varnum++) {
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    }

    // STEP 2: Compute marginals

    Inferencer inf = new JunctionTreeInferencer ();
    inf.computeMarginals (mdl);

    // STEP 3: Collect the results
    //   We'll just print them out

    for (int varnum = 0; varnum < allVars.length; varnum++) {
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