class_docstr: An abstract base class for collocation finders whose purpose is to
  collect collocation candidate frequencies, filter and rank them.
  
  As a minimum, collocation finders require the frequencies of each
  word in a corpus, and the joint frequency of word tuples. This data
  should be provided through nltk.probability.FreqDist objects or an
  identical interface.
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docstr: Returns a sequence of ngrams, ordered by decreasing score, whose
  scores each exceed the given minimum score.
docstr_tok: ["Returns","a","sequence","of","ngrams",",","ordered","by","decreasing","score",",","whose","scores","each","exceed","the","given","minimum","score","."]
code: def above_score(self, score_fn, min_score):
      """Returns a sequence of ngrams, ordered by decreasing score, whose
      scores each exceed the given minimum score.
      """
      for ngram, score in self.score_ngrams(score_fn):
          if score > min_score:
              yield ngram
          else:
              break
  
imports: import itertools
  from nltk.metrics import BigramAssocMeasures, ContingencyMeasures, QuadgramAssocMeasures, TrigramAssocMeasures
  from nltk.metrics.spearman import ranks_from_scores, spearman_correlation
  from nltk.probability import FreqDist
  from nltk.util import ngrams
label_desc: Use image node_id 12 for calling the AbstractCollocationFinder obj's underlying member method code with example usage: obj.above_score(score_fn, min_score) without return types