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.`
docstr: Predict diff-labels.
          
docstr_tok: ["Predict","diff-labels","."]
code: def predict(self, X, *argv, **kwargs):
      """Predict diff-labels."""
      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 4 for calling the IMDExplainer obj's underlying member method code with example usage: obj.predict(X) without return types