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-rw-r--r--src/python/gudhi/clustering/tomato.py1
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.
"""