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The rbf kernel converts data via a radial basis function into a new space. This is easy difficulty, but requires significant benchmarking to find when
the scikit-learn-intelex implementation provides better performance. This project will focus on the public API and including the benchmarking
results for a seamless, high-performance user experience. Combines with the other kernel projects to a medium time commitment.
The rbf kernel converts data via a radial basis function into a new space. This is easy difficulty, but requires significant benchmarking to find when
the scikit-learn-intelex implementation provides better performance. This project will focus on the public API and including the benchmarking
results for a seamless, high-performance user experience. Combines with the other kernel projects to a medium time commitment.
Scikit-learn definition can be found at:
https://scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.rbf_kernel.html
The onedal interface can be found at:
https://github.com/uxlfoundation/scikit-learn-intelex/blob/main/onedal/primitives/kernel_functions.py#L70
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