List of lookupLogJoint() Examples

Examples of lookupLogJoint()

cc.mallet.grmm.inference.Inferencer.lookupLogJoint()
Returns the natural logarithm of the joint probability of a given assignment, computed in some factorized fashion. Before using this method, computeMarginals must have been previously called on the graphical model that contains the variables of assn.
This method is less likely to underflow than Math.log (lookupJoint (assn)). @see #computeMarginals(cc.mallet.grmm.types.FactorGraph) @see #computeMarginals(JunctionTree)

Examples of cc.mallet.grmm.inference.Inferencer.lookupLogJoint()

    Inferencer inf = acrf.getInferencer ();
    for (int i = 0; i < trainingList.size (); i++) {
      Instance inst = trainingList.get (i);
      ACRF.UnrolledGraph unrolled = acrf.unroll (inst);
      inf.computeMarginals (unrolled);
      double lik = inf.lookupLogJoint (unrolled.getAssignment ());
      total += lik;
      logger.info ("...instance "+i+" likelihood = "+lik);
    }
    logger.info ("Unregularized joint likelihood = "+total);
  }

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