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Hi there, i stumbled over the problem that the algorithm try's to allocate more memory than i currently have. This happens in this implementation and the sklearn implementation of hdbscan and i found the following lines of code here.
if issparse(X) or metric not in FAST_METRICS:
# We can't do much with sparse matrices ...
So apparently it is not possible to reduce memory consumption if the dataset is sparse and i am trying to understand why that is.
Maybe somebody could elaborate?
The text was updated successfully, but these errors were encountered:
Hi there, i stumbled over the problem that the algorithm try's to allocate more memory than i currently have. This happens in this implementation and the sklearn implementation of hdbscan and i found the following lines of code here.
So apparently it is not possible to reduce memory consumption if the dataset is sparse and i am trying to understand why that is.
Maybe somebody could elaborate?
The text was updated successfully, but these errors were encountered: