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Thanks for trying out PCAone. May I ask what's your data format and what algorithm you want to have python bindings for. Although I don't have a plan for this yet, I am interested in incorporating PCAone into python ecosystem in the future.
the most practical for us (and most probably, ally python users) is an SKLearn-like class interface, with a .fit() and .transform() method. we're using pandas with a pyarrow backend, but numpy, pyarrow directly or other formats are also easy to convert to/from.
Hi!:) We'd love to try out PCAone, do you plan to create python bindings? Thank you!
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