How to use the retentioneering.core.model.__LogRegWrapper__ function in retentioneering

'accept_privacy_policy': 'bad_node',
            }
            ```
            If ``node_params=None``, it will be constructed from ``retention_config`` variable, so that:
            ```
            {
                'positive_target_event': 'nice_target',
                'negative_target_event': 'bad_target',
                'source_event': 'source',
            }
            ```
            Default: ``None``
        """
        self.show_quality_metrics(test_sample, test_target)
        if hasattr(self.mod, 'coef_'):
            self._plot_perm_imp(__LogRegWrapper__(self.mod.coef_[0]), test_sample, node_params, **kwargs)
            return
        perm = PermutationImportance(self.mod, random_state=0).fit(test_sample, test_target)
        eli5.show_weights(perm, feature_names=[' '.join(i) if type(i) == tuple else i for i in test_sample.columns])
        self._plot_perm_imp(perm, test_sample, node_params, **kwargs)