class_docstr: Implements a data generating process that returns data having cubic relationship between the treatment, outcome and confounders
class_docstr_tok: ["Implements","a","data","generating","process","that","returns","data","having","cubic","relationship","between","the","treatment",",","outcome","and","confounders"]
code: def generate_bias(self, dimensions):
      return np.random.randn(dimensions)
  
file_path: dowhy/dowhy/utils/dgps/cubic_dgp.py
imports: import numpy
  import pandas
  from dowhy.utils.dgp import DataGeneratingProcess
label_desc: Use image node_id 5 for calling the CubicDataGeneratingProcess obj's underlying member method code with example usage: obj.generate_bias(dimensions) and returns: np