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: Resets the metric.
  
  :param strategy: The strategy object associated with the stream.
docstr_tok: ["Resets","the","metric",".",":","param","strategy",":","The","strategy","object","associated","with","the","stream","."]
code: def reset(self, strategy=None) -> None:
      """Resets the metric.
  
      :param strategy: The strategy object associated with the stream.
      """
      self.matrix = torch.zeros((1, 1))
      self.count = 0
  
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 2 for calling the AccuracyMatrixPluginMetric obj's underlying member method code with example usage: obj.reset(strategy) without return types