class_docstr: 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) -> float:
      """The deterministic function that produces the metric outcomes."""
      raise NotImplementedError
  
imports: from __future__ import annotations
  from typing import Any, Callable, List, Optional
  import numpy
  import pandas
  from ax.core.base_trial import BaseTrial
  from ax.core.data import Data
  from ax.core.metric import Metric, MetricFetchE, MetricFetchResult
  from ax.core.types import TParameterization
  from ax.utils.common.result import Err, Ok
label_desc: Use image node_id 6 for calling the NoisyFunctionMetric obj's underlying member method code with example usage: obj.f(x) without return types