List of numLocations() Examples

Examples of numLocations()

Examples of cc.mallet.types.Labeling.numLocations()

      }
      if (hasNaN)
        logger.info("NaN in instance: " + inst.getName());


      // For the default feature, whose weight is 1.0
      for (int pos = 0; pos < labeling.numLocations(); pos++) {
        constraints[labeling.indexAtLocation(pos)*numFeatures + defaultFeatureIndex] +=
          1.0 * instanceWeight * labeling.value(labeling.indexAtLocation(pos));
      }
    }
  }

View Full Code Here

Examples of cc.mallet.types.Labeling.numLocations()


        this.theClassifier.getClassificationScores (instance, scores);
        FeatureVector fv = (FeatureVector) instance.getData ();


        value = 0.0;
        for(int pos = 0; pos < labeling.numLocations(); pos++) { //loop, added by Limin Yao
          int ll = labeling.indexAtLocation(pos);
          if (scores[ll] == 0  && labeling.valueAtLocation(pos) > 0) {
            logger.warning ("Instance "+instance.getSource() + " has infinite value; skipping value and gradient");
            cachedValue = Double.NEGATIVE_INFINITY;
            cachedValueStale = false;

View Full Code Here

Examples of cc.mallet.types.RankedFeatureVector.numLocations()

        out.print (": <DEFAULT_FEATURE> = "); out.print (parameters.defaultWeights[widx]); out.print ('\n');
        SparseVector transitionWeights = parameters.weights[widx];
        if (transitionWeights.numLocations () == 0)
          continue;
        RankedFeatureVector rfv = new RankedFeatureVector (inputAlphabet, transitionWeights);
        for (int m = 0; m < rfv.numLocations (); m++) {
          double v = rfv.getValueAtRank (m);
          //int index = rfv.indexAtLocation (rfv.getIndexAtRank (m));  // This doesn't make any sense.  How did this ever work?  -akm 12/2007
          int index = rfv.getIndexAtRank (m);
          Object feature = inputAlphabet.lookupObject (index);
          if (v != 0) {

View Full Code Here

Examples of cc.mallet.types.SparseMatrixn.numLocations()

  }


  public static LogTableFactor makeFromMatrix (Variable[] vars, SparseMatrixn values)
  {
    SparseMatrixn logValues = (SparseMatrixn) values.cloneMatrix ();
    for (int i = 0; i < logValues.numLocations (); i++) {
      logValues.setValueAtLocation (i, Math.log (logValues.valueAtLocation (i)));
    }
    Flops.log (logValues.numLocations ());
    return new LogTableFactor (vars, logValues);
  }

View Full Code Here

Examples of cc.mallet.types.SparseMatrixn.numLocations()

  {
    SparseMatrixn logValues = (SparseMatrixn) values.cloneMatrix ();
    for (int i = 0; i < logValues.numLocations (); i++) {
      logValues.setValueAtLocation (i, Math.log (logValues.valueAtLocation (i)));
    }
    Flops.log (logValues.numLocations ());
    return new LogTableFactor (vars, logValues);
  }


  public static LogTableFactor makeFromLogMatrix (Variable[] vars, Matrix values)
  {

View Full Code Here

Examples of cc.mallet.types.SparseVector.numLocations()

    s.plusEqualsSparse (s4, 1.0);
    checkAnswer (s, new double[] { 3, 5, 7.2, 6.8, 8.2 });  


    SparseVector s5 = new SparseVector (new int[] { 7 }, new double[] { 0.2 });
    s5.plusEqualsSparse (s1);
    for (int i = 0; i < s5.numLocations(); i++) {
      assertEquals (7, s5.indexAtLocation (i));
      assertEquals (3.2, s5.valueAtLocation (i), 0.0);
    }


    SparseVector s6 = new SparseVector (new int[] { 7 }, new double[] { 0.2 });

View Full Code Here

Examples of cc.mallet.types.SparseVector.numLocations()

      assertEquals (3.2, s5.valueAtLocation (i), 0.0);
    }


    SparseVector s6 = new SparseVector (new int[] { 7 }, new double[] { 0.2 });
    s6.plusEqualsSparse (s1, 3.5);
    for (int i = 0; i < s6.numLocations(); i++) {
      assertEquals (7, s6.indexAtLocation (i));
      assertEquals (10.7, s6.valueAtLocation (i), 0.0);
    }
  }

View Full Code Here

Examples of cc.mallet.types.SparseVector.numLocations()

  {
    SparseVector s = (SparseVector) s1.cloneMatrix ();
    s.incrementValue (5, 0.75);


    double[] ans = new double[] {1, 2.75, 3, 4, 5};
    for (int i = 0; i < s.numLocations(); i++) {
      assertTrue (s.valueAtLocation (i) == ans[i]);
    }
  }

View Full Code Here

Examples of cc.mallet.types.SparseVector.numLocations()

  {
    SparseVector s = (SparseVector) s1.cloneMatrix ();
    s.setValue (5, 0.3);


    double[] ans = new double[] {1, 0.3, 3, 4, 5};
    for (int i = 0; i < s.numLocations(); i++) {
      assertTrue (s.valueAtLocation (i) == ans[i]);
    }
  }


  public void testDenseSparseVector ()

View Full Code Here

Examples of cc.mallet.types.SparseVector.numLocations()

  }
  
  public void testCloneMatrixZeroed ()
  {
    SparseVector s = (SparseVector) s1.cloneMatrixZeroed ();
    for (int i = 0; i < s.numLocations(); i++) {
      assertTrue (s.valueAtLocation (i) == 0.0);
      assertTrue (s.indexAtLocation (i) == idxs [i]);
    }
  }

View Full Code Here

0 1 2 3 4 5

TOP

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.