code: def compute(self, rank_above, negative_num):
      del negative_num
      results = np.zeros(len(self._recall_at))
      for rank in rank_above:
          results += (rank <= self._recall_at).astype(np.float32)
  
      return results / len(rank_above)
  
imports: import numpy
  from openrec.tf1.utils.evaluators import Evaluator
label_desc: Use image node_id 2 for calling the Recall obj's underlying member method code with example usage: obj.compute(rank_above, negative_num) and returns: unknown