class_docstr: Transformer stage of MOFA
  
  Parameters
  ----------
  roi_space: `orion.algo.space.Space`
      Parameter region-of-interest as orion.algo.space.Space instance
  n_levels: int
      Number of levels
class_docstr_tok: ["Transformer","stage","of","MOFA","Parameters","--","--","--","--","--","roi_space",":","`","orion.algo.space.Space","`","Parameter","region-of-interest","as","orion.algo.space.Space","instance","n_levels",":","int","Number","of","levels"]
docstr: Generates the orthogonal array performance table
  
  Parameters
  ----------
  trials: list of `orion.core.worker.trial.Trial` objects
      Completed trials
  
  Returns
  -------
  A ``pandas.DataFrame`` of the OA table with parameters and trial objective values
docstr_tok: ["Generates","the","orthogonal","array","performance","table","Parameters","--","--","--","--","--","trials",":","list","of","`","orion.core.worker.trial.Trial","`","objects","Completed","trials","Returns","--","--","--","-","A","``","pandas.DataFrame","``","of","the","OA","table","with","parameters","and","trial","objective","values"]
code: def generate_oa_table(self, trials: list[Trial]) -> pd.DataFrame:
      """
      Generates the orthogonal array performance table
  
      Parameters
      ----------
      trials: list of `orion.core.worker.trial.Trial` objects
          Completed trials
  
      Returns
      -------
      A ``pandas.DataFrame`` of the OA table with parameters and trial objective values
      """
      olh_perf_table = self.generate_olh_perf_table(trials)
      return self._collapse_levels(olh_perf_table, self.n_levels)
  
file_path: orion/src/orion/algo/mofa/transformer.py
imports: from __future__ import annotations
  import numpy
  import pandas
  from skopt.space import Space
  from orion.algo.space import Space
  from orion.core.utils.flatten import flatten
  from orion.core.worker.trial import Trial
label_desc: Use image node_id 4 for calling the Transformer obj's underlying member method code with example usage: obj.generate_oa_table(trials) and returns: self