class_docstr: A metric defined by a generic deterministic function, with normal noise
  with mean 0 and mean_sd scale added to the result.
class_docstr_tok: ["A","metric","defined","by","a","generic","deterministic","function",",","with","normal","noise","with","mean","0","and","mean_sd","scale","added","to","the","result","."]
docstr: The deterministic function that produces the metric outcomes.
docstr_tok: ["The","deterministic","function","that","produces","the","metric","outcomes","."]
code: def f(self, x: np.ndarray) -> Mapping[str, Any]:
      """The deterministic function that produces the metric outcomes."""
      raise NotImplementedError
  
file_path: Ax/ax/metrics/noisy_function_map.py
imports: from __future__ import annotations
  from logging import Logger
  from typing import Any, Iterable, Mapping, Optional
  import numpy
  import pandas
  from ax.core.base_trial import BaseTrial
  from ax.core.map_data import MapData, MapKeyInfo
  from ax.core.map_metric import MapMetric, MapMetricFetchResult
  from ax.core.metric import MetricFetchE
  from ax.utils.common.logger import get_logger
  from ax.utils.common.result import Err, Ok
label_desc: Use image node_id 6 for calling the NoisyFunctionMapMetric obj's underlying member method code with example usage: obj.f(x) without return types