Open lanrete opened 3 years ago
Related issue #3095
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Is your feature request related to a problem? Please describe. I wish to use cuML to perform GPU optimized algorithms for frequent itemset mining.
Describe the solution you'd like Popular CPU based algorithms included aprior or FP-Growth
Describe alternatives you've considered There are a quite a lots of paper about GPU accelerated algorithms for frequent itemset mining [https://www.researchgate.net/publication/335859534_A_review_on_big_data_parallel_and_distributed_approaches_of_pattern_mining] This paper described quite some of these with both CPU & GPU version. However, I didn't find quite much existing implement of these GPU algorithms. It will be great if cuML have this feature in it's roadmap.
Additional context N/A