class_docstr: Abstract base class for a label model implementation.
  
  Args:
      weak_labels: Every label model implementation needs at least a `WeakLabels` instance.
class_docstr_tok: ["Abstract","base","class","for","a","label","model","implementation",".","Args",":","weak_labels",":","Every","label","model","implementation","needs","at","least","a","`","WeakLabels","`","instance","."]
docstr: Evaluates the label model.
docstr_tok: ["Evaluates","the","label","model","."]
code: def score(self, *args, **kwargs) -> Dict:
      """Evaluates the label model."""
      raise NotImplementedError
  
imports: import hashlib
  import logging
  from enum import Enum
  from typing import Dict, List, Tuple, Union
  import numpy
  from argilla import DatasetForTextClassification, TextClassificationRecord
  from argilla.labeling.text_classification.weak_labels import WeakLabels, WeakMultiLabels
  from argilla.utils.dependency import requires_dependencies
label_desc: Use image node_id 4 for calling the LabelModel obj's underlying member method code with example usage: obj.score() without return types