code: def _prob_condition(self, X_current):
      return (
          np.abs(
              self.predict_class_fn(X_current) - self.target_proba_arr
          )
          <= self.tol
      )
  
imports: import copy
  import logging
  from typing import Callable, Optional, Tuple, Union
  import numpy
  import tensorflow.compat.v1
  from alibi.api.defaults import DEFAULT_DATA_CF, DEFAULT_META_CF
  from alibi.api.interfaces import Explainer, Explanation
  from alibi.utils.gradients import num_grad_batch
label_desc: Use image node_id 5 for calling the Counterfactual obj's underlying member method code with example usage: obj._prob_condition(X_current) and returns: unknown