generate.sampling: Generator for Sampling Distribution Function for Gaussian...
In DPpack: Differentially Private Statistical Analysis and Machine Learning
generate.sampling 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
\insertCitechaudhuri2011DPpack 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
\insertRefchaudhuri2011DPpack
Examples
kernel.param <- 0.1
sample <- generate.sampling(kernel.param)
d <- 5
sample(d)
DPpack documentation built on April 8, 2023, 9:09 a.m.
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| generate.sampling | 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
\insertCitechaudhuri2011DPpack 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
\insertRefchaudhuri2011DPpack
Examples
kernel.param <- 0.1
sample <- generate.sampling(kernel.param)
d <- 5
sample(d)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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