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cjnolet
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Mar 13, 2026
| */ | ||
| template <typename T> | ||
| void kde_score_samples(raft::resources const& handle, | ||
| const T* query, |
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Can we accept mdspans here instead of raw pointers? That would also simplify the function signatures for the public APIs. Can still expose pointers at the cuml layer for now (for the python layer) if that's easier.
cjnolet
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Mar 13, 2026
| * @param[in] metric_arg Metric parameter (e.g. p for Minkowski; ignored otherwise) | ||
| */ | ||
| template <typename T> | ||
| void kde_score_samples(raft::resources const& handle, |
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Would it make sense just call this "kde" or is there signficant enough post processing being done after calling this?
cjnolet
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Mar 13, 2026
| * These are the smoothing kernels used in KDE — distinct from the dot-product | ||
| * kernels (RBF, Polynomial, etc.) in cuvs::distance::kernels used by SVMs. | ||
| */ | ||
| enum class DensityKernelType : int { |
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Can we at least consolidate this struct w/ the existing KernelType struct in distance.hpp?
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@cjnolet moved the kernel for KDE form cuml to cuvs this PR is needed for rapidsai/cuml#7833