How to use the retentioneering.core.clustering.homogeneity_score function in retentioneering

"""
        if hasattr(self, 'datatype') and self.datatype == 'features':
            features = self._obj.copy()
        else:
            features = self.extract_features(**kwargs)
        if not hasattr(self, 'clusters') or refit_cluster:
            clusterer = getattr(clustering, method)
            self.clusters, self._metrics = clusterer(features, **kwargs)
            self._create_cluster_mapping(features.index.values)

        if hasattr(self, 'datatype') and self.datatype == 'features':
            target = kwargs.pop('target')
        else:
            target = self.get_positive_users(**kwargs)
        target = features.index.isin(target)
        self._metrics['homogen'] = clustering.homogeneity_score(target, self.clusters)
        if hasattr(self, '_tsne'):
            features.retention._tsne = self._tsne
        if plot_type:
            func = getattr(plot, plot_type)
            res = func(
                features,
                clustering.aggregate_cl(self.clusters, 7) if method == 'dbscan' else self.clusters,
                target,
                metrics=self._metrics,
                **kwargs
            )
            if res is not None:
                self._tsne = res
        return self.clusters