code: def _compute(
      self,
      predictions,
      references,
      labels=None,
      sample_weight=None,
      normalize=None,
  ):
      return {
          "confusion_matrix": confusion_matrix(
              references,
              predictions,
              labels=labels,
              sample_weight=sample_weight,
              normalize=normalize,
          )
      }
  
imports: import datasets
  from sklearn.metrics import confusion_matrix
  import evaluate
label_desc: Use image node_id 2 for calling the ConfusionMatrix obj's underlying member method code with example usage: obj._compute(predictions, references, labels, sample_weight, normalize) and returns: dict