gauss_kern: Kernels used for localized estimation Gaussian Kernel
In tbonza/supml: "Algorithms for Supervised Machine Learning"
Description
Usage
Arguments
Value
Description
Solution using HT Ch. 6 Kernel Smoothing Methods (6.23)
Usage
1
gauss_kern(x, mu, lambda)
Arguments
x
feature vector
mu
mean
lambda
adjustable parameter, usually standard deviation
Value
transformed feature vector using gaussian distribution
tbonza/supml documentation built on May 17, 2019, 3:14 a.m.
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Description Usage Arguments Value
Description
Solution using HT Ch. 6 Kernel Smoothing Methods (6.23)
Usage
1 | gauss_kern(x, mu, lambda)
|
Arguments
x |
feature vector |
mu |
mean |
lambda |
adjustable parameter, usually standard deviation |
Value
transformed feature vector using gaussian distribution
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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