class_docstr: bla
code: def explain_instance(
      self,
      image,
      classifier_fn,
      threshold=0.95,
      delta=0.1,
      tau=0.15,
      batch_size=100,
      **kwargs,
  ):
      # classifier_fn is a predict_proba
      segments, sample = self.get_sample_fn(image, classifier_fn)
      exp = anchor_base.AnchorBaseBeam.anchor_beam(
          sample,
          delta=delta,
          epsilon=tau,
          batch_size=batch_size,
          desired_confidence=threshold,
          **kwargs,
      )
      return segments, self.get_exp_from_hoeffding(image, exp)
  
file_path: anchor/anchor/anchor_image.py
imports: from .None import anchor_base
  import numpy
  import sklearn
label_desc: Use image node_id 3 for calling the AnchorImage obj's underlying member method code with example usage: obj.explain_instance(image, classifier_fn, threshold, delta, tau, batch_size) and returns: segments,  self