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hi,i m a Postgraduate freshmen in Zhejiang University of Finance & Economics in China,and appreciate for your work in machine learning domain. When I use the skelearn library, it takes a lot of time to train large amounts of data on CPUs, and maybe use GPUs computing can improve this situation. So, im very excitied to konw that it will be support GPU computing in combo libarary. I m looking forward to it, and do you have a development schedule so I can follow your progress in real time. Thanks very much.
The text was updated successfully, but these errors were encountered:
I realize the difficulty of using GPU to accelerate could be high...and the gain can be limited. It makes more sense to me to use parallization along with joblib than using GPU. I will do something similar to the parallel distributed computing in https://github.com/yzhao062/SUOD...
hi,i m a Postgraduate freshmen in Zhejiang University of Finance & Economics in China,and appreciate for your work in machine learning domain. When I use the skelearn library, it takes a lot of time to train large amounts of data on CPUs, and maybe use GPUs computing can improve this situation. So, im very excitied to konw that it will be support GPU computing in combo libarary. I m looking forward to it, and do you have a development schedule so I can follow your progress in real time. Thanks very much.
The text was updated successfully, but these errors were encountered: