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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