class_docstr: A tracker for Neptune.ai.
code: def log_metrics(
      self,
      metrics: Mapping[str, float],
      step: Optional[int] = None,
      prefix: Optional[str] = None,
  ) -> None:  # noqa: D102
      metrics = flatten_dictionary(metrics, prefix=prefix)
      for k, v in metrics.items():
          self._help_log(k, step, v)
  
file_path: pykeen/src/pykeen/trackers/neptune.py
imports: from typing import TYPE_CHECKING, Any, Collection, Mapping, Optional
  from .base import ResultTracker
  from ..utils import flatten_dictionary
label_desc: Use image node_id 2 for calling the NeptuneResultTracker obj's underlying member method code with example usage: obj.log_metrics(metrics, step, prefix) without return types