goldingn/gpflowr: Gaussian Process Modelling Using TensorFlow
Version 0.1.2

A port of the GPflow python package to R. gpflowr implements Gaussian process models using Google's TensorFlow library (via the tensorflow R package). This enables automatic gradient construction via symbolic differentiation, efficient linear algebra, and portability to CPUs, GPUs, and across platforms. Like tensorflow, this package requires installation of python and TensorFlow.

Getting started

Package details

Maintainer
LicenseApache License 2.0
Version0.1.2
URL https://github.com/goldingn/gpflowr
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("goldingn/gpflowr")
goldingn/gpflowr documentation built on Sept. 10, 2017, 5:11 p.m.