class_docstr: Managed optimization loop, in which Ax oversees deployment of trials and
  gathering data.
class_docstr_tok: ["Managed","optimization","loop",",","in","which","Ax","oversees","deployment","of","trials","and","gathering","data","."]
code: def _call_evaluation_function(
      self,
      parameterization: TParameterization,
      weight: Optional[float] = None,
  ) -> TEvaluationOutcome:
      signature = inspect.signature(self.evaluation_function)
      num_evaluation_function_params = len(signature.parameters.items())
      if num_evaluation_function_params == 1:
          # pyre-ignore [20]: Can't run instance checks on subscripted generics.
          evaluation = self.evaluation_function(parameterization)
      elif num_evaluation_function_params == 2:
          # pyre-ignore [19]: Can't run instance checks on subscripted generics.
          evaluation = self.evaluation_function(
              parameterization, weight
          )
      else:
          raise UserInputError(
              "Evaluation function must take either one parameter "
              "(parameterization) or two parameters (parameterization and weight)."
          )
  
      return evaluation
  
imports: from __future__ import annotations
  import inspect
  import logging
  from typing import Iterable, List, Optional, Tuple
  from ax.core.arm import Arm
  from ax.core.base_trial import BaseTrial
  from ax.core.batch_trial import BatchTrial
  from ax.core.experiment import Experiment
  from ax.core.formatting_utils import data_and_evaluations_from_raw_data
  from ax.core.trial import Trial
  from ax.core.types import TEvaluationFunction, TEvaluationOutcome, TModelPredictArm, TParameterization
  from ax.core.utils import get_pending_observation_features
  from ax.exceptions.constants import CHOLESKY_ERROR_ANNOTATION
  from ax.exceptions.core import SearchSpaceExhausted, UserInputError
  from ax.modelbridge.base import ModelBridge
  from ax.modelbridge.dispatch_utils import choose_generation_strategy
  from ax.modelbridge.generation_strategy import GenerationStrategy
  from ax.modelbridge.registry import Models
  from ax.service.utils.best_point import get_best_parameters_from_model_predictions, get_best_raw_objective_point
  from ax.service.utils.instantiation import InstantiationBase, TParameterRepresentation
  from ax.utils.common.executils import retry_on_exception
  from ax.utils.common.logger import get_logger
  from ax.utils.common.typeutils import not_none
label_desc: Use image node_id 4 for calling the OptimizationLoop obj's underlying member method code with example usage: obj._call_evaluation_function(parameterization, weight) and returns: evaluation