class_docstr: Boolean Rule Column Generation explainer. Provides access to 
  :class:`aix360.algorithms.rbm.boolean_rule_cg.BooleanRuleCG`, which
  implements a directly interpretable supervised learning method
  for binary classification that learns a Boolean rule in disjunctive
  normal form (DNF) or conjunctive normal form (CNF) using column generation (CG).
  AIX360 implements a heuristic beam search version of BRCG that is less 
  computationally intensive than the published integer programming version [#NeurIPS2018]_.
  
  References:
      .. [#NeurIPS2018] `S. Dash, O. Günlük, D. Wei, "Boolean decision rules via
         column generation." Neural Information Processing Systems (NeurIPS), 2018.
         <https://papers.nips.cc/paper/7716-boolean-decision-rules-via-column-generation.pdf>`_
docstr: Return rules comprising the underlying model.
  
  Args:
      maxConj (int, optional): Maximum number of conjunctions to show
      prec (int, optional): Number of decimal places to show for floating-value thresholds
  Returns:
      Dictionary containing
  
      * isCNF (bool): flag signaling whether model is CNF or DNF
      * rules (list): selected conjunctions formatted as strings
docstr_tok: ["Return","rules","comprising","the","underlying","model",".","Args",":","maxConj","(","int",",","optional",")",":","Maximum","number","of","conjunctions","to","show","prec","(","int",",","optional",")",":","Number","of","decimal","places","to","show","for","floating-value","thresholds","Returns",":","Dictionary","containing","*","isCNF","(","bool",")",":","flag","signaling","whether","model","is","CNF","or","DNF","*","rules","(","list",")",":","selected","conjunctions","formatted","as","strings"]
code: def explain(self, *argv, **kwargs):
      """Return rules comprising the underlying model.
  
      Args:
          maxConj (int, optional): Maximum number of conjunctions to show
          prec (int, optional): Number of decimal places to show for floating-value thresholds
      Returns:
          Dictionary containing
  
          * isCNF (bool): flag signaling whether model is CNF or DNF
          * rules (list): selected conjunctions formatted as strings
      """
      return self._model.explain(**kwargs)
  
imports: from ..dise import DISExplainer
label_desc: Use image node_id 5 for calling the BRCGExplainer obj's underlying member method code with example usage: obj.explain() and returns: self