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[FEA] Chunked pairwise distance
Is your feature request related to a problem? Please describe. cuML provides pairwise distance metrics https://github.com/rapidsai/cuml/pull/2502
For large datasets GPU memory can becomes a limitation, and chunked pairwise distances would be useful.
Describe the solution you'd like Provide chunked pairwise distance metrics in cuML, like https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html
Additional context Tagging @ChristofHenkel to provide more context.
JFYI, dbscan has a very crude implementation of this chunked (aka batched) approach here. We'll probably have to generalize this inside our C++ distance metrics and then expose it in the python layer.
Tagging @cjnolet and @JohnZed
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due to no recent activity in the past 90 days. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.
Hi mates, any news from this issue ? I'm trying to score a KDE estimate on a big grid, and it seems not to work because of the lack of memory on the GPU.