code: def predict_log_proba(self, X):
          
          Xt, _, _ = self._transform(X)
          return self._final_estimator.predict_log_proba(Xt)
docs: Apply transforms, and predict_log_proba of the final estimator
  
          Parameters
          ----------
          X : iterable
              Data to predict on. Must fulfill input requirements of first step
              of the pipeline.
  
          Returns
          -------
          y_score : array-like, shape = [n_samples, n_classes]