class_docstr: Interpretable Model Differencing to explain the similarities and differences between two classifiers.
  Provides access to :class:`aix360.algorithms.imd.jst.JointSurrogateTree`, a novel data structure to
  compactly represent the differences between the models in terms of rules, and also provides a way to
  visualize the joint surrogate tree structure.
  
  References:
      .. [#UAI2023] `S. Haldar, D. Saha, D. Wei, R. Nair, E. M. Daly, "Interpretable Differencing of Machine Learning
          Models." Uncertainty in Artificial Intelligence (UAI), 2023.`
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docstr: Set parameters for the explainer.
docstr_tok: ["Set","parameters","for","the","explainer","."]
code: def set_params(self, *argv, **kwargs):
      """
      Set parameters for the explainer.
      """
      pass
  
file_path: AIX360/aix360/algorithms/imd/imd.py
imports: from ..dise import DISExplainer
  import numpy
  import pandas
  from aix360.algorithms.imd.utils import _parse_feature_names
  from aix360.algorithms.imd.jst import JointSurrogateTree
  from aix360.algorithms.imd.rule import Rule
label_desc: Use image node_id 2 for calling the IMDExplainer obj's underlying member method code with example usage: obj.set_params() without return types