Is it possible to use data stored in Sframe to train e.g., a Random Forest, of scikit-learn implementation without converting the whole dataset to numpy?
Fit scikit-learn algorithms with data stored in SFrame
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According by Turi-forum:
"If you use the most recent version of SFrame (which only became available via pip yesterday) you can use the tonumpy function to create an ndarray from an SFrame."
https://forum.turi.com/discussion/1642/