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Large-scale algorithms for kernel-based classification and regression in Python/Cython.

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lightning

lightning is an ongoing project to implement and research large-scale algorithms for kernel-based classification and regression in Python/Cython.

Dependencies

The required dependencies to build the software are Python >= 2.6, setuptools, Numpy >= 1.3, SciPy >= 0.7, scikit-learn (git version), Cython >= 0.15.1 and a working C/C++ compiler.

To run the tests you will also need nose >= 0.10.

Install

First run:

make cython

Then to install in your home directory, use:

python setup.py install --home

To install for all users on Unix/Linux:

python setup.py build
sudo python setup.py install

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Large-scale algorithms for kernel-based classification and regression in Python/Cython.

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  • Python 92.7%
  • C 7.2%
  • Shell 0.1%