class_docstr: RIPPER (Repeated Incremental Pruning to Produce Error Reduction) is a heuristic rule induction algorithm
  based on separate-and-conquer. The explainer outputs a rule set in Disjunctive Normal Form (DNF) for a single
  target concept.
  
  References:
      .. [#ML95] `William W Cohen, "Fast Effective Rule Induction"
          Machine Learning: Proceedings of the Twelfth International Conference, 1995.
          <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.107.2612&rep=rep1&type=pdf>
class_docstr_tok: ["RIPPER","(","Repeated","Incremental","Pruning","to","Produce","Error","Reduction",")","is","a","heuristic","rule","induction","algorithm","based","on","separate-and-conquer",".","The","explainer","outputs","a","rule","set","in","Disjunctive","Normal","Form","(","DNF",")","for","a","single","target","concept",".","References",":","..","[","#","ML95","]","`","William","W","Cohen",",","``","Fast","Effective","Rule","Induction","''","Machine","Learning",":","Proceedings","of","the","Twelfth","International","Conference",",","1995",".","<","http",":","\/\/citeseerx.ist.psu.edu\/viewdoc\/download","?","doi=10.1.1.107.2612","&","rep=rep1","&","type=pdf",">"]
docstr: The latest positive value RIPPER has been fitted for.
docstr_tok: ["The","latest","positive","value","RIPPER","has","been","fitted","for","."]
code: def target_label(self):
      """
      The latest positive value RIPPER has been fitted for.
      """
      return self._target_label
  
imports: import logging
  import logging.config
  from collections import OrderedDict
  import numpy
  from aix360.algorithms.dise import DISExplainer
  from aix360.algorithms.rule_induction.ripper.base import _encoding_for_parallel, init_encoder, encode_nominal, _split_instances
  from aix360.algorithms.rule_induction.ripper.binding import append_literal, _bind_literal, _bind_rule, unbound_rule_list_index, _unbound, _unbound_rule_list, _rule_list_predict, LE, EQ, _find_best_literal, Literal, _filter_contradicted_instances
  from aix360.algorithms.rule_induction.ripper.mdl import _mdl
  from aix360.algorithms.rule_induction.ripper.pruning import _pruning_irep, _minimize_rule_list, _pruning_optimization
  from aix360.algorithms.rule_induction.trxf.core.conjunction import Conjunction
  from aix360.algorithms.rule_induction.trxf.core.dnf_ruleset import DnfRuleSet
  from aix360.algorithms.rule_induction.trxf.core.feature import Feature
  from aix360.algorithms.rule_induction.trxf.core.predicate import Predicate, Relation
  from pandas import DataFrame, Series
label_desc: Use image node_id 2 for calling the RipperExplainer obj's underlying member method code with example usage: obj.target_label() and returns: self