README.md
In goldingn/gpflowr: Gaussian Process Modelling Using TensorFlow
gpflowr
gpflowr (jee-pee-flower) is a simple R import of the GPflow python package for fitting Gaussian process models using Google's TensorFlow library.
The package is a very thin wrapper around a reticulate import of GPflow. The package provides a few convenience functions, but still requires some knowledge of python to use.
Installation
gpflowr isn't yet on CRAN, and also depends on GPflow and a version of reticulate that isn't on CRAN. Once you've installed GPflow, you can install gpflowr like this:
devtools::install_github('rstudio/reticulate')
devtools::install_github('goldingn/gpflowr')
Contributing
If you spot something about the port that you think we could improve, please let us know!
goldingn/gpflowr documentation built on May 17, 2019, 7:41 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.
gpflowr
gpflowr (jee-pee-flower) is a simple R import of the GPflow python package for fitting Gaussian process models using Google's TensorFlow library.
The package is a very thin wrapper around a reticulate import of GPflow. The package provides a few convenience functions, but still requires some knowledge of python to use.
Installation
gpflowr isn't yet on CRAN, and also depends on GPflow and a version of reticulate that isn't on CRAN. Once you've installed GPflow, you can install gpflowr like this:
devtools::install_github('rstudio/reticulate')
devtools::install_github('goldingn/gpflowr')
Contributing
If you spot something about the port that you think we could improve, please let us know!
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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