ensemble_kernel_matrix: Calculating Ensemble Kernel Matrix
In CVEK: Cross-Validated Kernel Ensemble
Description
Usage
Arguments
Details
Value
Author(s)
Description
Calculating ensemble kernel matrix and truncating those columns whose
eigenvalues are smaller than the given threshold.
Usage
1
ensemble_kernel_matrix(A_est, eig_thres = 1e-11)
Arguments
A_est
(matrix) Ensemble projection matrix.
eig_thres
(numeric) Threshold to truncate the kernel matrix.
Details
After we obtain the ensemble projection matrix, we can calculate the
ensemble kernel matrix.
Value
K_hat
(matrix, n*n) Estimated ensemble kernel matrix.
Author(s)
Wenying Deng
CVEK documentation built on Jan. 8, 2021, 5:42 p.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)
Description
Calculating ensemble kernel matrix and truncating those columns whose eigenvalues are smaller than the given threshold.
Usage
1 | ensemble_kernel_matrix(A_est, eig_thres = 1e-11)
|
Arguments
A_est |
(matrix) Ensemble projection matrix. |
eig_thres |
(numeric) Threshold to truncate the kernel matrix. |
Details
After we obtain the ensemble projection matrix, we can calculate the ensemble kernel matrix.
Value
K_hat |
(matrix, n*n) Estimated ensemble kernel matrix. |
Author(s)
Wenying Deng
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.