Deprecated API


Contents
Deprecated Methods
edu.stanford.nlp.stats.ClassicCounter.addAll(Collection)
          Use own loop. 
edu.stanford.nlp.stats.ClassicCounter.addAll(Counter)
          Use Counters.addInPlace(Counter, Counter). 
edu.stanford.nlp.stats.ClassicCounter.addMultiple(Counter, double)
          Use Counters.addInPlace(Counter, Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.asPriorityQueue()
          Use Counters.toPriorityQueue(Counter) 
edu.stanford.nlp.stats.ClassicCounter.averageCount()
          Use Counters.mean(Counter). 
edu.stanford.nlp.stats.ClassicCounter.comparator()
          Use Counters.toComparator(edu.stanford.nlp.stats.Counter) 
edu.stanford.nlp.stats.ClassicCounter.comparator(boolean)
          Use Counters.toComparator(edu.stanford.nlp.stats.Counter) and Collections.reverseOrder(Comparator) if necessary. 
edu.stanford.nlp.stats.ClassicCounter.comparator(boolean, boolean)
          Use Counters.toComparator(edu.stanford.nlp.stats.Counter) 
edu.stanford.nlp.stats.ClassicCounter.decrementCounts(Collection)
          Use your own loop 
edu.stanford.nlp.stats.ClassicCounter.decrementCounts(Collection, double)
          Use your own loop 
edu.stanford.nlp.stats.ClassicCounter.divideBy(ClassicCounter)
          Use Counters.divideInPlace(Counter, Counter) 
edu.stanford.nlp.stats.ClassicCounter.divideBy(double)
          Use Counters.scaleInPlace(Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.getCountAsString(E)
          Use Double.toString 
edu.stanford.nlp.stats.ClassicCounter.getNormalizedCount(E)
          Use a Distribution or divide getCount by totalCount 
edu.stanford.nlp.stats.ClassicCounter.incrementCounts(Collection)
          Use your own loop 
edu.stanford.nlp.stats.ClassicCounter.incrementCounts(Collection, double)
          Use your own loop 
edu.stanford.nlp.stats.ClassicCounter.keysAbove(double)
          Use Counters.keysAbove(Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.keysAt(double)
          Use Counters.keysAt(Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.keysBelow(double)
          Use Counters.keysBelow(Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.logNormalize()
          Use Counters.logNormalize(Counter). 
edu.stanford.nlp.stats.ClassicCounter.logSum()
          Use Counters.logSum(Counter). 
edu.stanford.nlp.stats.ClassicCounter.multiplyBy(double)
          Use Counters.scaleInPlace(Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.normalize()
          Use Counters#normalize(Counter) 
edu.stanford.nlp.stats.ClassicCounter.removeZeroCounts()
          Use Counters.retainNonZeros(Counter) 
edu.stanford.nlp.stats.ClassicCounter.retainTop(int)
          Use Counters.retainTop(edu.stanford.nlp.stats.Counter, int) 
edu.stanford.nlp.stats.ClassicCounter.setCount(E, String)
          Use setCount after Double.parseDouble 
edu.stanford.nlp.stats.ClassicCounter.subtractAll(Counter)
          Use Counters.subtractInPlace(Counter, Counter) 
edu.stanford.nlp.stats.ClassicCounter.subtractAll(Counter, boolean)
          Use Counters.subtractInPlace(Counter, Counter) and then Counters.retainNonZeros(Counter) 
edu.stanford.nlp.stats.ClassicCounter.subtractMultiple(Counter, double)
          Use Counters.addInPlace(Counter, Counter, double) 
edu.stanford.nlp.stats.ClassicCounter.toString(NumberFormat)
          Use Counters.toString(Counter, NumberFormat) 
edu.stanford.nlp.stats.ClassicCounter.totalCount(Filter)
          Use own loop? 
edu.stanford.nlp.stats.ClassicCounter.totalDoubleCount()
          Use ClassicCounter.totalCount(). 
 



Stanford NLP Group