532150f6a70f1eca17a871b30a64a5aac97eff38,umap/umap_.py,UMAP,_validate_parameters,#UMAP#,1427

Before Change

        elif self.metric in dist.named_distances:
            self._input_distance_func = dist.named_distances[self.metric]
        elif self.metric == "precomputed":
            warn("Using precomputed metric; transform will be unavailable for new data")
        else:
            raise ValueError("metric is neither callable, " + "nor a recognised string")

        if callable(self.output_metric):

After Change

                     "a tuple of (distance [float], gradient [np.array])")
        elif self.metric in dist.named_distances:
            self._input_distance_func = dist.named_distances[self.metric]
            try:
                self._inverse_distance_func = dist.named_distances_with_gradients[self.metric]
            except KeyError:
                warn("gradient function is not yet implemented for {} distance metric; "
                     "inverse_transform will be unavailable".format(self.metric))
                self._inverse_distance_func = None
        elif self.metric == "precomputed":
            warn("using precomputed metric; transform will be unavailable for new data and inverse_transform "
                 "will be unavailable for all data")
            self._inverse_distance_func = None

Instances