class_docstr: Class for obtaining an Accuracy Matrix for the evaluation stream
class_docstr_tok: ["Class","for","obtaining","an","Accuracy","Matrix","for","the","evaluation","stream"]
docstr: Returns the metric result.
  
  :param strategy: The strategy object associated with the stream.
  :return: The metric result as a torch tensor.
docstr_tok: ["Returns","the","metric","result",".",":","param","strategy",":","The","strategy","object","associated","with","the","stream",".",":","return",":","The","metric","result","as","a","torch","tensor","."]
code: def result(self, strategy=None) -> float:
      """Returns the metric result.
  
      :param strategy: The strategy object associated with the stream.
      :return: The metric result as a torch tensor.
      """
      return self.matrix
  
file_path: avalanche/avalanche/evaluation/metrics/acc_matrix.py
imports: import torch
  from typing import List
  from avalanche.evaluation import PluginMetric
  from avalanche.evaluation.metric_results import MetricValue, MetricResult
  from avalanche.evaluation.metrics.accuracy import Accuracy
  from avalanche.training.templates import SupervisedTemplate
label_desc: Use image node_id 3 for calling the AccuracyMatrixPluginMetric obj's underlying member method code with example usage: obj.result(strategy) and returns: self