class_docstr: Data structure that manages the metric data (e.g., loss, accuracy, etc.).
  
  NOTE: Multiple metrics and minimized metrics are not supported in the current iteration.
  
  Parameters
  ----------
  strict
      Whether to convert the metrics into a float.
      If ``true``, only float metrics or dict with "default" are accepted.
code: def intermediates(self) -> Sequence[TrialMetric]:
      return self._intermediates
  
file_path: nni/nni/nas/space/metrics.py
imports: from __future__ import annotations
  from typing import Any, Sequence, cast
  from nni.typehint import TrialMetric
label_desc: Use image node_id 9 for calling the Metrics obj's underlying member method code with example usage: obj.intermediates() and returns: self