code: def plot_fairness_check_reg(
      fobject,
      title=None,
      other_objects=None,
      epsilon=None,
      verbose=True,
  ):
      data = fobject.result.unstack().reset_index()
      data.columns = ["metric", "subgroup", "score"]
  
      if epsilon is None:
          epsilon = fobject.epsilon
      else:
          checks.check_epsilon(epsilon)
  
      data["label"] = fobject.label
      n = 1
  
      if other_objects is not None:
          basic_checks.check_other_fairness_objects(
              fobject, other_objects
          )
          for other_obj in other_objects:
              other_data = other_obj.result.unstack().reset_index()
              other_data.columns = ["metric", "subgroup", "score"]
              other_data["label"] = other_obj.label
              data = pd.concat([data, other_data])
              n += 1
  
      data.score = data.score - 1
  
      fig = plot_fairness_check(data, n, epsilon, title)
      return fig
  
imports: import numpy
  import pandas
  import plotly.express
  import plotly.graph_objects
  from plotly.subplots import make_subplots
  from .None import checks
  from .None import utils
  from .._basics import checks
  from .._basics.exceptions import ParameterCheckError
  from ...None import _theme
  from ..._explainer import helper
label_desc: Use image node_id 3 for calling a global function with example usage: plot_fairness_check_reg(fobject, title, other_objects, epsilon, verbose) and returns: fig