code: def rbf(distance, sigma=1.0):
      """
      Convert distance to similarity in [0, 1] range using RBF (Gaussian)
      kernel.
      """
      return np.exp(-(distance**2) / (2 * sigma**2))
  
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 7 for calling a global function with example usage: rbf(distance, sigma) and returns: np