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I wonder what svm python modules use gpu accelerating.
Does libsvm or scikit-svm use gpu?
How can I use gpu accelerating with svm?
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scikit-svm will never support GPU.
By default it does not use GPU, especially if it is running inside Docker, unless you use nvidia-docker and an image with a built-in support. Scikit-learn is not intended to be used as a deep-learning framework and it does not provide any GPU support.
To fully utilize both cpu and gpu, use the gpu runtime in google colab. First, open colab and click Runtime >> Change runtime type _from the Menubar. Next, click GPU in the Hardware Accelerator _dropdown menu. This will activate a gpu backend for your google colab script.
There's a GPU-accelerated LIBSVM that uses the CUDA framework.
scikit-svm will never support GPU. From the FAQ:
Will you add GPU support?
No, or at least not in the near future. The main reason is that GPU support will introduce many software dependencies and introduce platform specific issues. scikit-learn is designed to be easy to install on a wide variety of platforms. Outside of neural networks, GPUs don’t play a large role in machine learning today, and much larger gains in speed can often be achieved by a careful choice of algorithms.
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ThunderSVM A Fast SVM Library on GPUs and CPUs
It also provides a scikit-learn Python interface
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