code: def aggregating_observers(self):
      return {
          name: IntervalAggregatingObserver(
              self.report_interval if "loss" in name else 1, aggregator
          )
          for name, aggregator in [
              ("loss", agg.MeanAggregator("loss")),
              (
                  "unweighted_loss",
                  agg.MeanAggregator("unweighted_loss"),
              ),
              ("eval_loss", agg.MeanAggregator("eval_loss")),
              (
                  "eval_unweighted_loss",
                  agg.MeanAggregator("eval_unweighted_loss"),
              ),
              (
                  "eval_rewards",
                  agg.LastEpochListAggregator("eval_rewards"),
              ),
              (
                  "eval_pred_rewards",
                  agg.LastEpochListAggregator("eval_pred_rewards"),
              ),
          ]
      }
  
file_path: ReAgent/reagent/reporting/reward_network_reporter.py
imports: import copy
  import logging
  from reagent.core import aggregators
  from reagent.core.observers import IntervalAggregatingObserver
  from reagent.models.base import ModelBase
  from reagent.reporting.reporter_base import ReporterBase
  from reagent.training.reward_network_trainer import LossFunction
label_desc: Use image node_id 3 for calling the RewardNetworkReporter obj's underlying member method code with example usage: obj.aggregating_observers() and returns: unknown