Skip to main content

Distributed GPs using TensorFlow.

Project description

gptf is a library for building Gaussian Process models in Python using TensorFlow, based on GPflow. Its benefits over GPflow include:

  • Ops can be easily pinned to devices / graphs, and inherit their device placement from their parents.
  • Autoflow that plays nicely with the distributed runtime.
  • Better trees for a better world.

Explanatory notebooks can be found in the notebooks directory, and documentation can be found here.

Installation

git clone https://github.com/ICL-SML/gptf
cd gptf
pip install .

Running tests

git clone https://github.com/ICL-SML/gptf
cd gptf
pip install nose
nosetests

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for gptf, version 1.1.2.post0
Filename, size File type Python version Upload date Hashes
Filename, size gptf-1.1.2.post0-py2-none-any.whl (56.1 kB) File type Wheel Python version py2 Upload date Hashes View
Filename, size gptf-1.1.2.post0-py3-none-any.whl (56.1 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size gptf-1.1.2.post0.tar.gz (49.2 kB) File type Source Python version None Upload date Hashes View

Supported by

Pingdom Pingdom Monitoring Google Google Object Storage and Download Analytics Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page