code: def explain_weights_lightning(
      estimator,
      vec=None,
      top=20,
      target_names=None,
      targets=None,
      feature_names=None,
      coef_scale=None,
  ):
      """Return an explanation of a lightning estimator weights"""
      return explain_weights_lightning_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 1 for calling a global function with example usage: explain_weights_lightning(estimator, vec, top, target_names, targets, feature_names, coef_scale) and returns: explain_weights_lightning_not_supported