class_docstr: The Forward Transfer computed on each experience separately.
  The transfer is computed based on the accuracy metric.
class_docstr_tok: ["The","Forward","Transfer","computed","on","each","experience","separately",".","The","transfer","is","computed","based","on","the","accuracy","metric","."]
docstr: Creates an instance of the ExperienceForwardTransfer metric.
docstr_tok: ["Creates","an","instance","of","the","ExperienceForwardTransfer","metric","."]
code: def __init__(self):
      """
      Creates an instance of the ExperienceForwardTransfer metric.
      """
      super().__init__(TaskAwareAccuracy())
  
imports: from abc import ABC, abstractmethod
  from typing import Dict, TYPE_CHECKING, Generic, List, Optional, TypeVar, Union
  from avalanche.evaluation.metric_definitions import Metric, PluginMetric
  from avalanche.evaluation.metric_results import MetricValue, MetricResult
  from avalanche.evaluation.metrics import TaskAwareAccuracy, Mean
  from avalanche.evaluation.metric_utils import get_metric_name, phase_and_task, stream_type
label_desc: Use image node_id 1 to create a new ExperienceForwardTransfer object from inherited base classes: GenericExperienceForwardTransfer with example: obj = ExperienceForwardTransfer()