mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-04-30 07:16:23 +02:00
grabbed readme from old devel branch
This commit is contained in:
parent
d4d54bacb3
commit
ba38f2cf2c
1 changed files with 58 additions and 0 deletions
58
README.md
58
README.md
|
|
@ -3,12 +3,51 @@ GPy
|
||||||
|
|
||||||
A Gaussian processes framework in Python.
|
A Gaussian processes framework in Python.
|
||||||
|
|
||||||
|
* [User mailing list](https://lists.shef.ac.uk/sympa/subscribe/gpy-users)
|
||||||
* [Online documentation](https://gpy.readthedocs.org/en/latest/)
|
* [Online documentation](https://gpy.readthedocs.org/en/latest/)
|
||||||
* [Unit tests (Travis-CI)](https://travis-ci.org/SheffieldML/GPy)
|
* [Unit tests (Travis-CI)](https://travis-ci.org/SheffieldML/GPy)
|
||||||
|
|
||||||
|
|
||||||
Continuous integration status: 
|
Continuous integration status: 
|
||||||
|
|
||||||
|
Getting started
|
||||||
|
===============
|
||||||
|
Installing with pip
|
||||||
|
-------------------
|
||||||
|
The simplest way to install GPy is using pip. ubuntu users can do:
|
||||||
|
|
||||||
|
sudo apt-get install python-pip
|
||||||
|
pip install gpy
|
||||||
|
|
||||||
|
If you'd like to install from source, or want to contribute to the project (e.g. by sending pull requests via github), read on.
|
||||||
|
|
||||||
|
Ubuntu
|
||||||
|
------
|
||||||
|
For the most part, the developers are using ubuntu. To install the required packages:
|
||||||
|
|
||||||
|
sudo apt-get install python-numpy python-scipy python-matplotlib
|
||||||
|
|
||||||
|
clone this git repository and add it to your path:
|
||||||
|
|
||||||
|
git clone git@github.com:SheffieldML/GPy.git ~/SheffieldML
|
||||||
|
echo 'PYTHONPATH=$PYTHONPATH:~/SheffieldML' >> ~/.bashrc
|
||||||
|
|
||||||
|
|
||||||
|
Windows
|
||||||
|
-------
|
||||||
|
On windows, we recommend the . We've also had luck with . git clone or unzip the source to a suitable directory, and add an approptiate PYTHONPATH environment variable.
|
||||||
|
|
||||||
|
On windows 7 (and possibly earlier versions) there's a bug in scipy version 0.13 which tries to write very long filenames. Reverting to scipy 0.12 seems to do the trick:
|
||||||
|
|
||||||
|
conda install scipy=0.12
|
||||||
|
|
||||||
|
OSX
|
||||||
|
---
|
||||||
|
Everything appears to work out-of-the box using  on osx Mavericks. Download/clone GPy, and then add GPy to your PYTHONPATH
|
||||||
|
|
||||||
|
git clone git@github.com:SheffieldML/GPy.git ~/SheffieldML
|
||||||
|
echo 'PYTHONPATH=$PYTHONPATH:~/SheffieldML' >> ~/.profile
|
||||||
|
|
||||||
|
|
||||||
Compiling documentation:
|
Compiling documentation:
|
||||||
========================
|
========================
|
||||||
|
|
@ -55,3 +94,22 @@ Run nosetests from the root directory of the repository:
|
||||||
|
|
||||||
nosetests -v
|
nosetests -v
|
||||||
|
|
||||||
|
Funding Acknowledgements
|
||||||
|
========================
|
||||||
|
|
||||||
|
Current support for the GPy software is coming through the following projects.
|
||||||
|
|
||||||
|
* [EU FP7-PEOPLE Project Ref 316861](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/mlpm/) "MLPM2012: Machine Learning for Personalized Medicine"
|
||||||
|
|
||||||
|
* [BBSRC Project No BB/K011197/1](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/recombinant/) "Linking recombinant gene sequence to protein product manufacturability using CHO cell genomic resources"
|
||||||
|
|
||||||
|
* MRC Special Training Fellowship "Bayesian models of expression in the transcriptome for clinical RNA-seq"
|
||||||
|
|
||||||
|
* [EU FP7-KBBE Project Ref 289434](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/biopredyn/) "From Data to Models: New Bioinformatics Methods and Tools for Data-Driven Predictive Dynamic Modelling in Biotechnological Applications"
|
||||||
|
|
||||||
|
* [EU FP7-ICT Project Ref 612139](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/wysiwyd/) "WYSIWYD: What You Say is What You Did"
|
||||||
|
|
||||||
|
Previous support for the GPy software came from the following projects:
|
||||||
|
|
||||||
|
* [BBSRC Project No BB/H018123/2](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/iterative/) "An iterative pipeline of computational modelling and experimental design for uncovering gene regulatory networks in vertebrates"
|
||||||
|
* [Erasysbio](http://staffwww.dcs.shef.ac.uk/people/N.Lawrence/projects/synergy/) "SYNERGY: Systems approach to gene regulation biology through nuclear receptors"
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue