kernel_linear: Generating A Single Matrix-wise Function Using Linear
In statmlhb/CVEK: Cross-Validated Kernel Ensemble
Description
Usage
Arguments
Details
Value
Author(s)
References
Description
Generate matrix-wise functions for two matrices using linear kernel.
Usage
1
kernel_linear(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
Polynomial Kernels
k(x, x')=(x \cdot x')^d
We have intercept
kernel when d=0, and linear kernel when d=1.
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.
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.
Description Usage Arguments Details Value Author(s) References
Description
Generate matrix-wise functions for two matrices using linear kernel.
Usage
1 | kernel_linear(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
Polynomial Kernels
k(x, x')=(x \cdot x')^d
We have intercept kernel when d=0, and linear kernel when d=1.
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.