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The Gaussian Process Toolbox

Project Description

GPy

A Gaussian processes framework in Python.

Continuous integration status: ![CI status](https://travis-ci.org/SheffieldML/GPy.png)

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 ![anaconda python distribution](http://continuum.io/downloads). We’ve also had luck with ![enthought](http://www.enthought.com). 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 ![enthought](http://www.enthought.com) 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:

The documentation is stored in doc/ and is compiled with the Sphinx Python documentation generator, and is written in the reStructuredText format.

The Sphinx documentation is available here: http://sphinx-doc.org/latest/contents.html

Installing dependencies:

To compile the documentation, first ensure that Sphinx is installed. On Debian-based systems, this can be achieved as follows:

sudo apt-get install python-pip sudo pip install sphinx

A LaTeX distribution is also required to compile the equations. Note that the extra packages are necessary to install the unicode packages. To compile the equations to PNG format for use in HTML pages, the package dvipng must be installed. IPython is also required. On Debian-based systems, this can be achieved as follows:

sudo apt-get install texlive texlive-latex-extra texlive-base texlive-recommended sudo apt-get install dvipng sudo apt-get install ipython

Compiling documentation:

The documentation can be compiled as follows:

cd doc make html

The HTML files are then stored in doc/_build/

Running unit tests:

Ensure nose is installed via pip:

pip install nose

Run nosetests from the root directory of the repository:

nosetests -v

Funding Acknowledgements

Current support for the GPy software is coming through the following projects.

Previous support for the GPy software came from the following projects:

Release history Release notifications

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1.9.2

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1.8.5

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1.8.4

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1.8.3

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1.8.1

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1.8.0

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1.7.7

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1.7.6

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1.7.3

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1.7.2

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1.6.1

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1.5.6

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1.5.5

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1.5.3

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1.4.0

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1.2.1

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1.2.0

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1.1.3

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1.0.9

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1.0.8

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1.0.7

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1.0.4

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1.0.3

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1.0.1

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1.0.0

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0.8.8

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0.6.0

This version
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0.4.9

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0.2

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0.1.3

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
GPy-0.4.9.tar.gz (226.6 kB) Copy SHA256 hash SHA256 Source None Feb 5, 2014

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