class_docstr: Overlap Boolean Rule class in the style of scikit-learn
class_docstr_tok: ["Overlap","Boolean","Rule","class","in","the","style","of","scikit-learn"]
docstr: Compute conjunctions of features specified in self.z
docstr_tok: ["Compute","conjunctions","of","features","specified","in","self.z"]
code: def compute_conjunctions(self, X):
      """Compute conjunctions of features specified in self.z"""
      try:
          A = 1 - (np.dot(1 - X, self.z) > 0)
      except AttributeError:
          print("Attribute 'z' does not exist, please fit model first.")
      return A
  
imports: import logging
  from typing import Union
  import cvxpy
  import numpy
  import pandas
  from sklearn.metrics import roc_auc_score
  from .beam_search import beam_search
label_desc: Use image node_id 8 for calling the OverlapBooleanRule obj's underlying member method code with example usage: obj.compute_conjunctions(X) and returns: A