code: def explain_prediction_lightning_not_supported(
      estimator,
      doc,
      vec=None,
      top=None,
      target_names=None,
      targets=None,
      feature_names=None,
      vectorized=False,
      coef_scale=None,
  ):
      return Explanation(
          estimator=repr(estimator),
          error="Error: estimator %r is not supported" % estimator,
      )
  
file_path: eli5/eli5/lightning.py
imports: from __future__ import absolute_import
  from lightning.impl.base import BaseEstimator
  from lightning import classification, regression
  from sklearn.multiclass import OneVsRestClassifier
  from eli5.base import Explanation
  from eli5.base_utils import singledispatch
  from eli5.sklearn import explain_linear_classifier_weights, explain_linear_regressor_weights, explain_prediction_linear_classifier, explain_prediction_linear_regressor
  from eli5.explain import explain_prediction, explain_weights
label_desc: Use image node_id 4 for calling a global function with example usage: explain_prediction_lightning_not_supported(estimator, doc, vec, top, target_names, targets, feature_names, vectorized, coef_scale) and returns: Explanation