When i am trying to run OPTICS(min_samples=2, max_eps=epsilon, metric='precomputed', algorithm='ball_tree', rejection_ratio=0.1 , n_jobs=3).fit(distance_matrix) i am getting Metric 'precomputed' not valid. Use sorted(sklearn.neighbors.VALID_METRICS['ball_tree']) to get valid options. Metric can also be a callable function. where distance_matrix is a numpy array of harvesine distances.

Again when trying OPTICS(min_samples=2, max_eps=epsilon, metric='haversine', algorithm='ball_tree', rejection_ratio=0.1 , n_jobs=3).fit(np.radians(coordinates[:, [0, 1]])) i am getting ValueError: Unknown metric haversine.

Using Version: 0.21.dev0