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Difference between revisions of "Install PyMVPA Ubuntu"

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#Install the following python packages
==Install the following python packages==
<pre>
<pre>
#set up the NeuroDebian service
wget -O- http://neuro.debian.net/lists/trusty.jp.full | sudo tee /etc/apt/sources.list.d/neurodebian.sources.list
sudo apt-key adv --recv-keys --keyserver hkp://pgp.mit.edu:80 0xA5D32F012649A5A9
#install packages required by pymvpa
sudo pip install numpy nibabel scipy scikit-learn matplotlib --upgrade
#the pymvpa package
#the pymvpa package
sudo apt-get install python-mvpa2
sudo apt-get install python-mvpa2
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sudo apt-get install python-mvpa2-tutorialdata
sudo apt-get install python-mvpa2-tutorialdata


#scipy version has to be > 0.9
</pre>
sudo pip install scipy --upgrade
 
*[[File:Tutorial data-0.4.tar.gz | | The tutorial dataset ]]
*[http://manpages.ubuntu.com/manpages/utopic/man1/pymvpa2-tutorial.1.html syntax of using PyMVPA tutorial data]
*[http://www.jonaskaplan.com/pymvpainstallation.php Install PyMVPA on Mac]


#sciki-learn machine learning package
sudo pip install sciki-learn --upgrade


==Learn basic concepts about PyMVPA==


</pre>
[http://haxbylab.dartmouth.edu/publications/HHS+09a.pdf PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data]
 
==Some users' experience==
[http://mvpa.blogspot.tw/2013/06/indexing-woes-story-of-pymvpa-r-and.html indexing woes: a story of pyMVPA, R, and mricron ]

Latest revision as of 03:27, 12 January 2016

Install the following python packages

#set up the NeuroDebian service
wget -O- http://neuro.debian.net/lists/trusty.jp.full | sudo tee /etc/apt/sources.list.d/neurodebian.sources.list
sudo apt-key adv --recv-keys --keyserver hkp://pgp.mit.edu:80 0xA5D32F012649A5A9

#install packages required by pymvpa
sudo pip install numpy nibabel scipy scikit-learn matplotlib --upgrade

#the pymvpa package
sudo apt-get install python-mvpa2

#the tutorial dataset
sudo apt-get install python-mvpa2-tutorialdata


Learn basic concepts about PyMVPA

PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data

Some users' experience

indexing woes: a story of pyMVPA, R, and mricron