CovarFun-class: Class CovarFun.
In JimSkinner/gpclassifier: Implements a Gaussian Process binary Classifier
Description
Class CovarFun defines a covariance function to be used as part of
a GPC gaussian process classifier. A CovarFun object is made
up of a kernel k(x,y), a set of hyperparameters used in the kernel, and
a function returning the gradient of the kernel with respect to each of the
hyperparameters.
JimSkinner/gpclassifier documentation built on May 7, 2019, 10:52 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
Class CovarFun defines a covariance function to be used as part of
a GPC gaussian process classifier. A CovarFun object is made
up of a kernel k(x,y), a set of hyperparameters used in the kernel, and
a function returning the gradient of the kernel with respect to each of the
hyperparameters.
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.