code: def __init__(self, model, params, normalized_cov_params, scale):
      super().__init__(
          model,
          params,
          normalized_cov_params=normalized_cov_params,
          scale=scale,
      )
  
imports: import numpy
  import statsmodels.base.model
  import statsmodels.regression.linear_model
  import statsmodels.base.wrapper
  from statsmodels.discrete.discrete_model import MultinomialResults, MultinomialResultsWrapper
  import collections
  import warnings
  import itertools
label_desc: Use image node_id 1 to create a new ConditionalResults object from inherited base classes: base with example: obj = ConditionalResults(model, params, normalized_cov_params, scale)