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rapidsai / cuml

cuML - RAPIDS Machine Learning Library
https://docs.rapids.ai/api/cuml/stable/
Apache License 2.0
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Integration of Latent Direchlet allocation from Scikit-learn into cuml #4455

Open bparbhu opened 2 years ago

bparbhu commented 2 years ago

As someone who is using Scikit Learn's LDA model, I am looking for ways to speed up run time, especially when dealing with bigram and trigram based models, so I ended up looking into RAPIDS and I am very happy with what I see but one thing I would want to know is if there exists an implementation of LDA within the rapids sci-kit learn ecosystem and if not can we integrate within cuml.

Also what would it take to do so and what would need to be added or adjusted to the sci-kit learn version to make it compatible with cuml?

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-30d due to no recent activity in the past 30 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. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

bparbhu commented 2 years ago

This should still be in the mix for feature requests I feel.

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-30d due to no recent activity in the past 30 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. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

bparbhu commented 2 years ago

This issue should still be relevant. I will work on a proof of concept.

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-30d due to no recent activity in the past 30 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. This issue will be labeled inactive-90d if there is no activity in the next 60 days.

github-actions[bot] commented 2 years ago

This issue has been labeled inactive-90d 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.