class_docstr: Wraps ClassifierEvaluator so attributes and methods return an HTML
  serializable version of them
class_docstr_tok: ["Wraps","ClassifierEvaluator","so","attributes","and","methods","return","an","HTML","serializable","version","of","them"]
code: def __init__(self, evaluator):
      self.evaluator = evaluator
  
file_path: sklearn-evaluation/src/sklearn_evaluation/report/serialize.py
imports: from functools import reduce
  import base64
  from six import BytesIO
  import matplotlib
label_desc: Use image node_id 1 to create a new EvaluatorHTMLSerializer object  with example: obj = EvaluatorHTMLSerializer(evaluator)