VERSIONS.md
In dirmeier/gpR: Gaussian processes in R
Versions
v0.1
Version v0.1 comes with basic implementations of GP-regression and GP-prediction when the kernel parameters are given.
- train a GP on a dataset (X, Y), where Y is either binomially or normally distributed
- predict Y.new from a new data-set X.new
- demo for regression and prediction
- vignette
Author
- Simon Dirmeier simon.dirmeier@gmx.de
dirmeier/gpR documentation built on May 15, 2019, 8:50 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.
Versions
v0.1
Version v0.1 comes with basic implementations of GP-regression and GP-prediction when the kernel parameters are given.
- train a GP on a dataset (X, Y), where Y is either binomially or normally distributed
- predict Y.new from a new data-set X.new
- demo for regression and prediction
- vignette
Author
- Simon Dirmeier simon.dirmeier@gmx.de
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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