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.trees.tregex.SimpleCharStream.getColumn()
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edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream.getColumn()
|
edu.stanford.nlp.stats.ClassicCounter.getCountAsString(E)
Use Double.toString |
edu.stanford.nlp.trees.tregex.SimpleCharStream.getLine()
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edu.stanford.nlp.trees.tregex.tsurgeon.SimpleCharStream.getLine()
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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() . |