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","."]
code: def predict_proba(self, X):
      proba = self.predict(X)
      proba = proba.reshape(-1, 1)
      proba = np.hstack([np.zeros(proba.shape), proba])
  
      return proba
  
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 16 for calling the SlipperBaseEstimator obj's underlying member method code with example usage: obj.predict_proba(X) and returns: proba