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: Forward transfer for all experiences.
  
  See :class `ForwardTransfer` documentation for more detailed
  information.
  
  :return: a dictionary containing, for each key,
      the difference between the key value after training on the
      previous experience, and the key at random initialization.
docstr_tok: ["Forward","transfer","for","all","experiences",".","See",":","class","`","ForwardTransfer","`","documentation","for","more","detailed","information",".",":","return",":","a","dictionary","containing",",","for","each","key",",","the","difference","between","the","key","value","after","training","on","the","previous","experience",",","and","the","key","at","random","initialization","."]
code: def result(self) -> Dict[int, float]:
      """
      Forward transfer for all experiences.
  
      See :class `ForwardTransfer` documentation for more detailed
      information.
  
      :return: a dictionary containing, for each key,
          the difference between the key value after training on the
          previous experience, and the key at random initialization.
      """
      return self.forward_transfer.result()
  
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 3 for calling the ExperienceForwardTransfer obj's underlying member method code with example usage: obj.result() and returns: self