docs: def confusion_matrix(
      gold, pred, null_pred=False, null_gold=False, normalize=False, pretty_print=True
  ):
      """A shortcut method for building a confusion matrix all at once.
  
      Args:
          gold: an array-like of gold labels (ints)
          pred: an array-like of predictions (ints)
          null_pred: If True, include the row corresponding to null predictions
          null_gold: If True, include the col corresponding to null gold labels
          normalize: if True, divide counts by the total number of items
          pretty_print: if True, pretty-print the matrix before returning
      """
      conf = ConfusionMatrix(null_pred=null_pred, null_gold=null_gold)
      gold = arraylike_to_numpy(gold)
      pred = arraylike_to_numpy(pred)
      conf.add(gold, pred)
      mat = conf.compile()
  
      if normalize:
          mat = mat / len(gold)
  
      if pretty_print:
          conf.display(normalize=normalize)
  
      return mat