square_dist: Computing Square Distance between Two Sets of Variables
In CVEK: Cross-Validated Kernel Ensemble
Description
Usage
Arguments
Value
Author(s)
References
View source: R/generate_kernel.R
Description
Compute Squared Euclidean distance between two sets of variables with the
same dimension.
Usage
1
square_dist(X1, X2 = NULL, l = 1)
Arguments
X1
(matrix, n1*p0) The first set of variables.
X2
(matrix, n2*p0) The second set of variables.
l
(numeric) A numeric number indicating the hyperparameter
(flexibility) of a specific kernel.
Value
dist_sq
(matrix, n1*n2) The computed squared Euclidean distance.
Author(s)
Wenying Deng
References
The MIT Press. Gaussian Processes for Machine Learning, 2006.
CVEK documentation built on Jan. 8, 2021, 5:42 p.m.
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Description Usage Arguments Value Author(s) References
View source: R/generate_kernel.R
Description
Compute Squared Euclidean distance between two sets of variables with the same dimension.
Usage
1 | square_dist(X1, X2 = NULL, l = 1)
|
Arguments
X1 |
(matrix, n1*p0) The first set of variables. |
X2 |
(matrix, n2*p0) The second set of variables. |
l |
(numeric) A numeric number indicating the hyperparameter (flexibility) of a specific kernel. |
Value
dist_sq |
(matrix, n1*n2) The computed squared Euclidean distance. |
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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