class_docstr: An estimator that supports building rules as described in
  A Simple, Fast, and Effective Rule Learner (1999). Intended to be used
  as part of the SlipperRulesClassifier.
class_docstr_tok: ["An","estimator","that","supports","building","rules","as","described","in","A","Simple",",","Fast",",","and","Effective","Rule","Learner","(","1999",")",".","Intended","to","be","used","as","part","of","the","SlipperRulesClassifier","."]
docstr: Remove a condition from an existing Rule object
docstr_tok: ["Remove","a","condition","from","an","existing","Rule","object"]
code: def _pop_condition(self, rule, condition):
      """
      Remove a condition from an existing Rule object
      """
      temp = rule.copy()
      temp.remove(condition)
      return temp
  
imports: import random
  import numpy
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.model_selection import train_test_split
  from imodels.util.arguments import check_fit_arguments
label_desc: Use image node_id 10 for calling the SlipperBaseEstimator obj's underlying member method code with example usage: obj._pop_condition(rule, condition) and returns: temp