code: def _evaluate(self, params: TParameterization) -> float:
      return self._f(params)
  
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 3 for calling the GenericNoisyFunctionMetric obj's underlying member method code with example usage: obj._evaluate(params) and returns: self