本文整理了Java中zemberek.core.collections.Histogram.removeSmaller()方法的一些代码示例，展示了Histogram.removeSmaller()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Histogram.removeSmaller()方法的具体详情如下：
包路径：zemberek.core.collections.Histogram
类名称：Histogram
方法名：removeSmaller

Histogram.removeSmaller介绍

[英]removes the items that has a count smaller than minCount
[中]删除计数小于minCount的项目

代码示例

代码示例来源：origin: ahmetaa/zemberek-nlp

public int removeSmaller(int order, int size) {
 return gramCounts[order].removeSmaller(size);
}

代码示例来源：origin: ahmetaa/zemberek-nlp

NormalizationVocabulary(
  Path correct,
  Path incorrect,
  Path maybeIncorrect,
  int correctMinCount,
  int incorrectMinCount,
  int maybeIncorrectMinCount) throws IOException {
 Histogram<String> correctWords = Histogram.loadFromUtf8File(correct, ' ');
 Histogram<String> noisyWords = Histogram.loadFromUtf8File(incorrect, ' ');
 Histogram<String> maybeIncorrectWords = new Histogram<>();
 if (maybeIncorrect != null) {
  maybeIncorrectWords = Histogram.loadFromUtf8File(maybeIncorrect, ' ');
 }
 correctWords.removeSmaller(correctMinCount);
 noisyWords.removeSmaller(incorrectMinCount);
 maybeIncorrectWords.removeSmaller(maybeIncorrectMinCount);
 this.noisyWordStart = correctWords.size();
 this.words = new ArrayList<>(correctWords.getSortedList());
 words.addAll(noisyWords.getSortedList());
 this.maybeIncorrectWordStart = words.size();
 words.addAll(maybeIncorrectWords.getSortedList());
 int i = 0;
 for (String word : words) {
  indexes.put(word, i);
  i++;
 }
}

代码示例来源：origin: ahmetaa/zemberek-nlp

parseFails.removeSmaller(3);
parseFails.saveSortedByCounts(Paths.get("parse-fails.txt"), " ");

代码示例来源：origin: ahmetaa/zemberek-nlp

Log.info("%d words loaded.", wordFreq.size());
wordFreq.removeSmaller(minWordCount);
if (minWordCount > 1) {
 Log.info("%d words left after removing counts less than %d.",

代码示例来源：origin: ahmetaa/zemberek-nlp

Histogram<String> incorrectFromNoisy = Histogram
  .loadFromUtf8File(noisyRoot.resolve("incorrect"), ' ');
incorrectFromNoisy.removeSmaller(2);

代码示例来源：origin: ahmetaa/zemberek-nlp

public static void counts() {
 String[] fruits = {"apple", "pear", "grape", "apple", "apple", "apricot", "grape"};
 Log.info("Adding elements to histogram:" + Arrays.toString(fruits));
 Histogram<String> histogram = new Histogram<>();
 histogram.add(fruits);
 Log.info("\nPrint with no order");
 for (String s : histogram) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
 Log.info("\nPrint with count order");
 for (String s : histogram.getSortedList()) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
 histogram.removeSmaller(2);
 Log.info("\nAfter removing elements with counts less than 2");
 for (String s : histogram.getSortedList()) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
}

代码示例来源：origin: ahmetaa/turkish-nlp-examples

public static void counts() {
 String[] fruits = {"apple", "pear", "grape", "apple", "apple", "apricot", "grape"};
 Log.info("Adding elements to histogram:" + Arrays.toString(fruits));
 Histogram<String> histogram = new Histogram<>();
 histogram.add(fruits);
 Log.info("\nPrint with no order");
 for (String s : histogram) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
 Log.info("\nPrint with count order");
 for (String s : histogram.getSortedList()) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
 histogram.removeSmaller(2);
 Log.info("\nAfter removing elements with counts less than 2");
 for (String s : histogram.getSortedList()) {
  Log.info(s + " count: " + histogram.getCount(s));
 }
}