class_docstr: Maintains a confusion matrix for a given classification problem.
  
  The ConfusionMeter constructs a confusion matrix for a multi-class
  classification problems. It does not support multi-label, multi-class problems:
  for such problems, please use MultiLabelConfusionMeter.
  
  :param k (int): number of classes in the classification problem
  :param normalized (boolean): Determines whether or not the confusion matrix is normalized or not
code: def reset(self):
      self.conf.fill(0)
  
imports: from .None import meter
  import numpy
label_desc: Use image node_id 2 for calling the ConfusionMeter obj's underlying member method code with example usage: obj.reset() without return types