code: def __init__(self):
      # These will hold per label span counts.
      self._true_positives: Dict[str, int] = defaultdict(int)
      self._false_positives: Dict[str, int] = defaultdict(int)
      self._false_negatives: Dict[str, int] = defaultdict(int)
  
file_path: scispacy/scispacy/per_class_scorer.py
imports: from typing import Dict, List, Tuple, Set
  from collections import defaultdict
  import copy
label_desc: Use image node_id 1 to create a new PerClassScorer object  with example: obj = PerClassScorer()