hSSDist: Criterion to minimize, the LOOCV prediction error: sum of...
In rudazhang/gpsr: Gaussian Process Subspace Regression
hSSDist R Documentation
Criterion to minimize, the LOOCV prediction error: sum of squared Riemannian distances.
Description
Criterion to minimize, the LOOCV prediction error: sum of squared Riemannian distances.
Usage
hSSDist(len)
Note
require (thetaTrain, XtX, VbtX; getKinv)
rudazhang/gpsr documentation built on March 11, 2023, 5:49 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.
| hSSDist | R Documentation |
Criterion to minimize, the LOOCV prediction error: sum of squared Riemannian distances.
Description
Criterion to minimize, the LOOCV prediction error: sum of squared Riemannian distances.
Usage
hSSDist(len)
Note
require (thetaTrain, XtX, VbtX; getKinv)
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.