class_docstr: Computes the RL Reliability Metrics.
code: def _info(self):
      if self.config_name not in ["online", "offline"]:
          raise KeyError(
              """You should supply a configuration name selected in '["online", "offline"]'"""
          )
  
      return evaluate.MetricInfo(
          module_type="metric",
          description=_DESCRIPTION,
          citation=_CITATION,
          inputs_description=_KWARGS_DESCRIPTION,
          features=datasets.Features(
              {
                  "timesteps": datasets.Sequence(
                      datasets.Value("int64")
                  ),
                  "rewards": datasets.Sequence(datasets.Value("float")),
              }
          ),
          homepage="https://github.com/google-research/rl-reliability-metrics",
      )
  
file_path: evaluate/metrics/rl_reliability/rl_reliability.py
imports: import datasets
  import numpy
  from rl_reliability_metrics.evaluation import eval_metrics
  from rl_reliability_metrics.metrics import metrics_offline, metrics_online
  import evaluate
label_desc: Use image node_id 1 for calling the RLReliability obj's underlying member method code with example usage: obj._info() and returns: evaluate