code: def _get_classifier_prefix(clf_or_pipeline):
      """
      >>> from sklearn.linear_model import LogisticRegression
      >>> from sklearn.feature_extraction.text import CountVectorizer
      >>> from sklearn.pipeline import make_pipeline
      >>> _get_classifier_prefix(LogisticRegression())
      ''
      >>> pipe = make_pipeline(CountVectorizer(), LogisticRegression())
      >>> _get_classifier_prefix(pipe)
      'logisticregression__'
      """
      if not isinstance(clf_or_pipeline, Pipeline):
          return ""
      return clf_or_pipeline.steps[-1][0] + "__"
  
imports: from __future__ import absolute_import
  from typing import List, Any
  import numpy
  from scipy.stats import entropy
  from sklearn.pipeline import Pipeline
  from sklearn.utils import check_random_state, issparse
  from sklearn.utils.metaestimators import if_delegate_has_method
  from sklearn.utils import shuffle
  from eli5.utils import vstack
  from eli5.sklearn.utils import sklearn_version
label_desc: Use image node_id 8 for calling a global function with example usage: _get_classifier_prefix(clf_or_pipeline) and returns: unknown, str