class_docstr: This class implements a simple classifier constructed from a list of DNF rule sets.
  Based on the specified RuleSelectionMethod, this classifier predicts the label for a given input.
class_docstr_tok: ["This","class","implements","a","simple","classifier","constructed","from","a","list","of","DNF","rule","sets",".","Based","on","the","specified","RuleSelectionMethod",",","this","classifier","predicts","the","label","for","a","given","input","."]
code: def __str__(self):
      body = "\n".join([str(rule_set) for rule_set in self._rule_sets])
      else_clause = "else " + str(self.default_label)
      return "\n".join([body, else_clause])
  
imports: import enum
  from collections import namedtuple
  from typing import Dict, List, Any
  import pandas
  from aix360.algorithms.rule_induction.trxf.core.dnf_ruleset import DnfRuleSet
  from aix360.algorithms.rule_induction.trxf.metrics import compute_rule_metrics
label_desc: Use image node_id 10 for calling the RuleSetClassifier obj's underlying member method code with example usage: obj.__str__() and returns: str