gaussianProcess-package: Utilities for training Gaussian processes.
In mattdneal/gaussianProcess: Gaussian Process Fitting and Prediction
Description
gaussianProcess provides functionality to define kernels (either
stand-alone or as a combination of basic kernels) and also
to automatically perform model selection from a basic set of kernels
to select the optimum kernel for modelling the input data, using the
Bayesian Information Criterion as a search criteria.
mattdneal/gaussianProcess documentation built on May 21, 2019, 12:58 p.m.
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Description
gaussianProcess provides functionality to define kernels (either stand-alone or as a combination of basic kernels) and also to automatically perform model selection from a basic set of kernels to select the optimum kernel for modelling the input data, using the Bayesian Information Criterion as a search criteria.
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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