kernel_rbf: Generating A Single Matrix-wise Function Using RBF
In statmlhb/CVEK: Cross-Validated Kernel Ensemble
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Generate matrix-wise functions for two matrices using rbf kernel.
Usage
1
kernel_rbf(l, d)
Arguments
l
(numeric) A numeric number indicating the hyperparameter
(flexibility) of a specific kernel.
d
(integer) For polynomial, d is the power; for matern, v = d + 1 /
2; for rational, alpha = d.
Details
Gaussian RBF Kernels
k_{SE}(r)=exp\Big(-\frac{r^2}{2l^2}\Big)
Value
matrix_wise
(function) A function calculating the relevance
of two matrices.
Author(s)
Wenying Deng
References
The MIT Press. Gaussian Processes for Machine Learning, 2006.
statmlhb/CVEK documentation built on May 5, 2019, 3:47 a.m.
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Description Usage Arguments Details Value Author(s) References
Description
Generate matrix-wise functions for two matrices using rbf kernel.
Usage
1 | kernel_rbf(l, d)
|
Arguments
l |
(numeric) A numeric number indicating the hyperparameter (flexibility) of a specific kernel. |
d |
(integer) For polynomial, d is the power; for matern, v = d + 1 / 2; for rational, alpha = d. |
Details
Gaussian RBF Kernels
k_{SE}(r)=exp\Big(-\frac{r^2}{2l^2}\Big)
Value
matrix_wise |
(function) A function calculating the relevance of two matrices. |
Author(s)
Wenying Deng
References
The MIT Press. Gaussian Processes for Machine Learning, 2006.
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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