docstr: 暂时调用 sklearn 的方法
docstr_tok: ["\u6682\u65f6\u8c03\u7528","sklearn","\u7684\u65b9\u6cd5"]
code: def __init__(self):
      """
      暂时调用 sklearn 的方法
      """
      self.y_true = np.empty(0)
      self.y_pred = np.empty(0)
  
file_path: DeepKE/src/deepke/relation_extraction/standard/tools/metrics.py
imports: import torch
  import numpy
  from abc import ABCMeta, abstractmethod
  from sklearn.metrics import precision_recall_fscore_support
label_desc: Use image node_id 1 to create a new PRMetric object  with example: obj = PRMetric()