class_docstr: Ex-Model CL Experience.
  
  The experience only provides the expert model.
  The original data is not available.
code: def __init__(
      self,
      expert_model: Module,
      current_experience: int,
      origin_stream: CLStream,
      classes_in_this_experience=None,
  ):
      super().__init__(
          current_experience=current_experience,
          origin_stream=origin_stream,
      )
      self.expert_model: Module = expert_model
      self.classes_in_this_experience = classes_in_this_experience
  
file_path: avalanche/avalanche/benchmarks/scenarios/exmodel_scenario.py
imports: from typing import List, TypeVar
  from torch.nn import Module
  from .None import CLScenario, CLExperience, CLStream
label_desc: Use image node_id 1 to create a new ExModelExperience object from inherited base classes: CLExperience with example: obj = ExModelExperience(expert_model, current_experience, origin_stream, classes_in_this_experience)