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[FEA] Soft clustering with HDBSCAN #4467
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I would be interested in this as well. |
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With the merge of #4800, soft clustering the original dataset with Closing this issue as resolved. Soft-clustering a new set of points with |
Is your feature request related to a problem? Please describe.
I wish using HDBSCAN soft clustering method (which is implemented in the CPU version, see https://hdbscan.readthedocs.io/en/latest/soft_clustering.html) with cuML.
Describe the solution you'd like
It is the best to update a "all_points_membership_vectors" function the same as its CPU version.
Describe alternatives you've considered
It's can be OK if the attributes (prediction_data, raw_tree, etc.) necessary for soft clustering are provided. With that attributes, I can use CPU version to compute the values. However, they are missing in cuML.
Additional context
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