Package weka.filters.unsupervised.attribute

Examples of weka.filters.unsupervised.attribute.StringToWordVector$Count

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    MAX_NUMBER_OF_WORDS_TO_KEEP = maxNumberOfWordsToKeep;
    BATCH_SIZE = batchSize;
    BATCH_QUEUE = new ArrayBlockingQueue<Instance>(BATCH_SIZE);
    INST_HEADERS = instHeaders;
    semaphore = new Semaphore(1);
    filter = new StringToWordVector(MAX_NUMBER_OF_WORDS_TO_KEEP);
    filter.setOutputWordCounts(true);
  }
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    String[]   newOptions;
    String   joined;
    int    i;
   
    try {
      options    = new StringToWordVector().getOptions();
      joined     = Utils.joinOptions(options);
      newOptions = Utils.splitOptions(joined);
      assertEquals("Same number of options", options.length, newOptions.length);
      for (i = 0; i < options.length; i++) {
  if (!options[i].equals(newOptions[i]))
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    input  = "\\r\\n\\t\\'\\\"\\%";
    output = Utils.backQuoteChars(input);
    assertTrue(">" + input + "< restored", input.equals(Utils.unbackQuoteChars(output)));
   
    input  = Utils.joinOptions(new StringToWordVector().getOptions());
    output = Utils.backQuoteChars(input);
    assertTrue(">" + input + "< restored", input.equals(Utils.unbackQuoteChars(output)));
  }
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