if (true) { add1 = laplaceSmoothedDistribution(c, 4000); gt = goodTuringSmoothedCounter(c, 4000); } else { c.setCount(UNK, 45);
Distribution<Symbol> prior = Distribution.goodTuringSmoothedCounter(charCounter, numberOfKeys); charDistributions.put(Collections.EMPTY_LIST, prior);
if (true) { add1 = laplaceSmoothedDistribution(c, 4000); gt = goodTuringSmoothedCounter(c, 4000); } else { c.setCount(UNK, 45);
if (true) { add1 = laplaceSmoothedDistribution(c, 4000); gt = goodTuringSmoothedCounter(c, 4000); } else { c.setCount(UNK, 45);
if (true) { add1 = laplaceSmoothedDistribution(c, 4000); gt = goodTuringSmoothedCounter(c, 4000); } else { c.setCount(UNK, 45);
if (true) { add1 = laplaceSmoothedDistribution(c, 4000); gt = goodTuringSmoothedCounter(c, 4000); } else { c.setCount(UNK, 45);
Distribution<Symbol> prior = Distribution.goodTuringSmoothedCounter(charCounter, numberOfKeys); charDistributions.put(Collections.EMPTY_LIST, prior);
Distribution<Symbol> prior = Distribution.goodTuringSmoothedCounter(charCounter, numberOfKeys); charDistributions.put(Collections.EMPTY_LIST, prior);
Distribution<Symbol> prior = Distribution.goodTuringSmoothedCounter(charCounter, numberOfKeys); charDistributions.put(Collections.EMPTY_LIST, prior);
Distribution<Symbol> prior = Distribution.goodTuringSmoothedCounter(charCounter, numberOfKeys); charDistributions.put(Collections.EMPTY_LIST, prior);