Quadrature-based features for kernel approximation
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README.md

quffka

QUFFKA — QUadrature-based Features For Kernel Approximation. It applies simple quadrature rules to generate random features for kernel approximation.

Clone and install:

    $ cd quffka
    $ pip install .

Three simple steps to kernel approximation:

To prepare datasets, run:

    $ ./download_datasets.sh
    $ cook-datasets

To run kernel approximation (beware long computations! First please see examples), run:

    $ approximate-kernels

To compare how fast explicit mapping is computed, run:

    $ measure-time