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-rw-r--r-- | src/python/gudhi/clustering/tomato.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/src/python/gudhi/clustering/tomato.py b/src/python/gudhi/clustering/tomato.py index 133754b4..fbba3cc8 100644 --- a/src/python/gudhi/clustering/tomato.py +++ b/src/python/gudhi/clustering/tomato.py @@ -107,6 +107,7 @@ class Tomato: X ((n,d)-array of float|(n,n)-array of float|Sequence[Iterable[int]]): coordinates of the points, or distance matrix (full, not just a triangle) if metric is "precomputed", or list of neighbors for each point (points are represented by their index, starting from 0) if graph_type is "manual". + The number of points is currently limited to about 2 billion. weights (ndarray of shape (n_samples)): if density_type is 'manual', a density estimate at each point y: Not used, present here for API consistency with scikit-learn by convention. """ |