generate.sampling {DPpack} | R Documentation |
Generator for Sampling Distribution Function for Gaussian Kernel
Description
This function generates and returns a sampling function corresponding to the
Fourier transform of a Gaussian kernel with given parameter
(Chaudhuri et al. 2011) of form needed for svmDP
.
Usage
generate.sampling(kernel.param)
Arguments
kernel.param |
Positive real number for the Gaussian (radial) kernel parameter. |
Value
Sampling function for the Gaussian kernel of form required by
svmDP
.
References
Chaudhuri K, Monteleoni C, Sarwate AD (2011). “Differentially Private Empirical Risk Minimization.” Journal of Machine Learning Research, 12(29), 1069-1109. https://jmlr.org/papers/v12/chaudhuri11a.html.
Examples
kernel.param <- 0.1
sample <- generate.sampling(kernel.param)
d <- 5
sample(d)
[Package DPpack version 0.2.0 Index]