goldingn/gpflowr: Gaussian Process Modelling Using TensorFlow
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
Browse package contents
Package details |
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| Maintainer | |
| License | Apache License 2.0 |
| Version | 0.1.2 |
| URL | https://github.com/goldingn/gpflowr |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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