99b21021e5e6927cb49dea8c9318568a0c9f9899,umap/umap_.py,UMAP,inverse_transform,#UMAP#Any#,1801

Before Change

        else:
            n_epochs = self.n_epochs

        graph.data[graph.data < (graph.data.max() / float(n_epochs))] = 0.0
        graph.eliminate_zeros()

        epochs_per_sample = make_epochs_per_sample(graph.data, n_epochs)

After Change

            for v in neighbors
        ]
        dist_func = dist.named_distances[self.output_metric]
        dist_args = tuple(self._output_metric_kwds.values())
        distances = [
            np.array(
                [dist_func(X[i], self.embedding_[nb], *dist_args) for nb in neighborhood[i]]

Instances