docstr: The classifier's predict method.
  
  Parameters
  ----------
  x
      Array containing conditioning variables for each instance.
  
  Returns
  -------
  Propensity scores (the probability of being test instances).
docstr_tok: ["The","classifier","'s","predict","method",".","Parameters","--","--","--","--","--","x","Array","containing","conditioning","variables","for","each","instance",".","Returns","--","--","--","-","Propensity","scores","(","the","probability","of","being","test","instances",")","."]
code: def predict(self, x: np.ndarray) -> np.ndarray:
      """
      The classifier's predict method.
  
      Parameters
      ----------
      x
          Array containing conditioning variables for each instance.
  
      Returns
      -------
      Propensity scores (the probability of being test instances).
      """
      return self.clf.predict_proba(x)[:, 1]
  
file_path: alibi-detect/alibi_detect/cd/_domain_clf.py
imports: from abc import ABC, abstractmethod
  from typing import Callable
  import numpy
  from sklearn.svm import SVC
  from sklearn.calibration import CalibratedClassifierCV
label_desc: Use image node_id 4 for calling the _SVCDomainClf obj's underlying member method code with example usage: obj.predict(x) and returns: self