class_docstr: Base class describing what an assessment can do.
  
  Parameters
  ----------
  repetitions : int
     Number of experiment the assessment ask to run the corresponding task
  kwargs : dict
     Configurable parameters of the assessment, a particular assessment
     implementation can have its own parameters.
docstr: Return the configuration of the assessment.
code: def configuration(self):
      """Return the configuration of the assessment."""
      return {self.__class__.__qualname__: self._param_names}
  
file_path: orion/src/orion/benchmark/assessment/base.py
imports: from abc import ABC, abstractmethod
  from orion.core.utils import GenericFactory
label_desc: Use image node_id 5 for calling the BenchmarkAssessment obj's underlying member method code with example usage: obj.configuration() and returns: dict