class_docstr:     The CIDEr evaluation metric class.
  Parameters
  ----------
  df: string
      Parameter indicating document frequency.
class_docstr_tok: ["The","CIDEr","evaluation","metric","class",".","Parameters","--","--","--","--","--","df",":","string","Parameter","indicating","document","frequency","."]
code: def __init__(self, df):
      super(CIDEr, self).__init__()
      self.scorer = Cider(df=df)
  
imports: from graph4nlp.pytorch.modules.evaluation.base import EvaluationMetricBase
  from graph4nlp.pytorch.modules.evaluation.cider_tool.cider import Cider
label_desc: Use image node_id 1 to create a new CIDEr object from inherited base classes: EvaluationMetricBase with example: obj = CIDEr(df)