code: def explain_weights_ovr_lightning(ovr, **kwargs):
      # dispatch OvR to eli5.lightning
      # if explain_weights_lightning is called explicitly
      estimator = ovr.estimator
      func = explain_weights_lightning.dispatch(estimator.__class__)
      return func(ovr, **kwargs)
  
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 6 for calling a global function with example usage: explain_weights_ovr_lightning(ovr) and returns: func