class_docstr: Generalized Linear Rule Model explainer. Provides access to the following
  directly interpretable supervised learning methods:
  
  * **Linear Rule Regression:** linear regression on rule-based features [#Icml2019]_.
  * **Logistic Rule Regression:** logistic regression on rule-based features [#Icml2019]_.
  
  References:
      .. [#Icml2019] `D. Wei, S. Dash, T. Gao, O. Günlük, "Generalized linear rule
         models." International Conference on Machine Learning (ICML), 2019.
         <http://proceedings.mlr.press/v97/wei19a/wei19a.pdf>`_
docstr: Set parameters for the explainer.
code: def set_params(self, *argv, **kwargs):
      """
      Set parameters for the explainer.
      """
      pass
  
file_path: AIX360/aix360/algorithms/rbm/GLRM.py
imports: from ..dise import DISExplainer
label_desc: Use image node_id 2 for calling the GLRMExplainer obj's underlying member method code with example usage: obj.set_params() without return types