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"]
code: def __init__(self, roi_space: Space, n_levels: int):
      self.n_levels = n_levels
      self.space = roi_space
      self.sk_space = SkSpace(fix_shape_intervals(roi_space.interval()))
      self.sk_space.set_transformer("normalize")
  
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 1 to create a new Transformer object  with example: obj = Transformer(roi_space, n_levels)