Examples of cc.mallet.grmm.types.Assignment

cc.mallet.grmm.types.Assignment
An assignment to a bunch of variables.
Note that outcomes are always integers. If you want them to be something else, then the Variables all have outcome Alphabets; for example, see {@link Variable#lookupOutcome}.
Created: Tue Oct 21 15:11:11 2003 @author Charles Sutton @version $Id: Assignment.java,v 1.1 2007/10/22 21:37:44 mccallum Exp $


      if (unrolled.numVariables () == 0) return 0;   // Happens if all nodes are pruned.


      /* Save the expected value of each feature for when we
         compute the gradient. */
      Assignment observations = unrolled.getAssignment ();
      double value = collectExpectationsAndValue (unrolled, observations);


      if (Double.isNaN (value)) {
        System.out.println("NaN on instance "+i+" : "+instance.getName ());
        printDebugInfo (unrolled);

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    }


    void printDebugInfo (ACRF.UnrolledGraph unrolled)
    {
      acrf.print (System.err);
      Assignment assn = unrolled.getAssignment ();
      for (Iterator it = unrolled.unrolledVarSetIterator (); it.hasNext();) {
        ACRF.UnrolledVarSet clique = (ACRF.UnrolledVarSet) it.next();
        System.out.println("Clique "+clique);
        dumpAssnForClique (assn, clique);
        Factor ptl = unrolled.factorOf (clique);

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