mirror of
https://github.com/SheffieldML/GPy.git
synced 2026-04-25 12:56:22 +02:00
82 lines
2.4 KiB
Markdown
82 lines
2.4 KiB
Markdown
GPy
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===
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A Gaussian processes framework in Python.
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* [Online documentation](https://gpy.readthedocs.org/en/latest/)
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* [Unit tests (Travis-CI)](https://travis-ci.org/SheffieldML/GPy)
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Continuous integration status: 
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Getting started
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===============
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Installing with pip
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-------------------
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The simplest way to install GPy is using pip.
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pip install gpy
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Ubuntu
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------
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For the most part, the developers are using ubuntu. To install the required packages:
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sudo apt-get install python-numpy python-scipy python-matplotlib
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clone this git repository and add it to your path:
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git clone git@github.com:SheffieldML/GPy.git \<destination\>
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echo "PYTHONPATH=$PYTHONPATH:\<detination\> > ~/.bashrc
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Windows
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-------
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On windows, we recommend the . We've also had luck with . git clone or unzip the source to a suitable directory, and add a PYTHONPATH environement variable.
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OSX
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---
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everything appears to work out-of-the box using  on osx Mavericks.
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Compiling documentation:
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========================
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The documentation is stored in doc/ and is compiled with the Sphinx Python documentation generator, and is written in the reStructuredText format.
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The Sphinx documentation is available here: http://sphinx-doc.org/latest/contents.html
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Installing dependencies:
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------------------------
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To compile the documentation, first ensure that Sphinx is installed. On Debian-based systems, this can be achieved as follows:
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sudo apt-get install python-pip
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sudo pip install sphinx
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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:
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sudo apt-get install texlive texlive-latex-extra texlive-base texlive-recommended
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sudo apt-get install dvipng
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sudo apt-get install ipython
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Compiling documentation:
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------------------------
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The documentation can be compiled as follows:
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cd doc
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make html
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The HTML files are then stored in doc/_build/
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Running unit tests:
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===================
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Ensure nose is installed via pip:
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pip install nose
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Run nosetests from the root directory of the repository:
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nosetests -v
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