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Quadrature-based features for kernel approximation

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quffka/quffka

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QUFFKA — QUadrature-based Features For Kernel Approximation. Itapplies simple quadrature rules to generate random features for kernelapproximation.

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 seeexamples), run:

    $ approximate-kernels

To compare how fast explicit mapping is computed, run:

    $ measure-time

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