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
nosetestsRelease history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
gptf-1.1.2.post0.tar.gz
(49.2 kB
view hashes)
Built Distributions
gptf-1.1.2.post0-py3-none-any.whl
(56.1 kB
view hashes)
gptf-1.1.2.post0-py2-none-any.whl
(56.1 kB
view hashes)
Close
Hashes for gptf-1.1.2.post0-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5073f480d3560de6236f233b97901b5ff9020487d71ef90c5368a5a06252e639 |
|
| MD5 | 43946b50911bd4642c99781cf3379db0 |
|
| BLAKE2b-256 | 5437d6e2235435a842e92f9d538248b2696e7d9074c4bcdb4f984becf4851715 |
Close
Hashes for gptf-1.1.2.post0-py2-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | ff47a424fc76c5f0fcaea15fce672f6c987fb34be075972426c260cbe37d0aaf |
|
| MD5 | b186a03860e9780508362d030d14ba44 |
|
| BLAKE2b-256 | 32a7ff3fac0a201486c87357ae923b592fa104f6ec02cd035d59d55648c619cf |
