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Random features for Gaussian kernel approximation functions provide no sigma parameter explicit choice, nor associated paramsel method #20

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raffaello-camoriano opened this issue Jun 24, 2015 · 0 comments

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@raffaello-camoriano
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When working with random Fourier features (RFs) for the approximation of a Gaussian kernel, it would be very useful to have the following functionalities:

  • A field of opt to set the sigma parameter used in the random feature mapping.
  • A paramsel method such as paramsel_siglamho, but working for RFs.
@raffaello-camoriano raffaello-camoriano changed the title Random features for Gaussian kernel approximation functions provide no sigma parameter exmplicit choice, nor associated paramsel method Random features for Gaussian kernel approximation functions provide no sigma parameter explicit choice, nor associated paramsel method Jun 24, 2015
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