docs: def fuzzy_like_this(cls, like_text, fields=None, ignore_tf=None, max_query_terms=None, min_similarity=None, prefix_length=None, boost=None, analyzer=None):
          '''
          http://www.elasticsearch.org/guide/reference/query-dsl/flt-query.html
          Fuzzy like this query find documents that are "like" provided text by running it against one or more fields.
  
          > query = ElasticQuery().fuzzy_like_this('text like this one', fields=['name.first', 'name.last'], max_query_terms=12)
          > query
              {'fuzze_like_this': {'boost': 1.0,
                'fields': ['name.first', 'name.last'],
                'ifgnore_tf': False,
                'like_text': 'text like this one',
                'max_query_terms': 12,
                'min_similarity': 0.5,
                'prefix_length': 0}}
  
          '''
          instance = cls(fuzzy_like_this={'like_text': like_text})
          if fields is not None:
              instance['fuzzy_like_this']['fields'] = fields
          if ignore_tf is not None:
              instance['fuzzy_like_this']['ignore_tf'] = ignore_tf
          if max_query_terms is not None:
              instance['fuzzy_like_this']['max_query_terms'] = max_query_terms
          if min_similarity is not None:
              instance['fuzzy_like_this']['min_similarity'] = min_similarity
          if prefix_length is not None:
              instance['fuzzy_like_this']['prefix_length'] = prefix_length
          if boost is not None:
              instance['fuzzy_like_this']['boost'] = boost
          if analyzer is not None:
              instance['fuzzy_like_this']['analyzer'] = analyzer
  
          return instance