Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/17532#discussion_r109975956
--- Diff: python/pyspark/ml/linalg/__init__.py ---
@@ -72,7 +72,9 @@ def _convert_to_vector(l):
return DenseVector(l)
elif _have_scipy and scipy.sparse.issparse(l):
assert l.shape[1] == 1, "Expected column vector"
- csc = l.tocsc()
+ # Make sure the converted csc_matrix has sorted indices.
+ csc = l.tocsr().tocsc()
--- End diff --
I'd just call tocsc. You can then check the attribute has_sorted_indices
and call sort_indices() if needed.
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