How to Install and Uninstall python-mvpa2 Package on Ubuntu 16.04 LTS (Xenial Xerus)

Last updated: May 13,2024

1. Install "python-mvpa2" package

Please follow the guidance below to install python-mvpa2 on Ubuntu 16.04 LTS (Xenial Xerus)


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                python-mvpa2
            
                    
    
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2. Uninstall "python-mvpa2" package

In this section, we are going to explain the necessary steps to uninstall python-mvpa2 on Ubuntu 16.04 LTS (Xenial Xerus):


    
        
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                sudo apt remove
            
                        
                python-mvpa2
            
                    
    
    Copied


    
        
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                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the python-mvpa2 package on Ubuntu 16.04 LTS (Xenial Xerus)

Package: python-mvpa2
Priority: optional
Section: universe/python
Installed-Size: 8322
Maintainer: Ubuntu Developers
Original-Maintainer: NeuroDebian team
Architecture: all
Source: pymvpa2
Version: 2.4.1-1
Provides: python2.7-mvpa2
Depends: python (<< 2.8), python (>= 2.7), python-numpy, python-mvpa2-lib (>= 2.4.1-1)
Recommends: python-h5py, python-lxml, python-matplotlib, python-mdp, python-nibabel, python-nipy, python-psutil, python-psyco, python-pywt, python-reportlab, python-scipy, python-sklearn, python-shogun, liblapack-dev, python-pprocess, python-statsmodels, python-joblib
Suggests: fslview, fsl, python-mvpa2-doc, python-nose, python-openopt, python-rpy2
Filename: pool/universe/p/pymvpa2/python-mvpa2_2.4.1-1_all.deb
Size: 5032046
MD5sum: 3d6548c0d040618d2de1b794b4dffff0
SHA1: 360f70a73eb03029304fb9c07052c7d2adfc6bbe
SHA256: 8ee19e5e14b45c1ed50272fc8948b86b6a5e39abd048e7bfb7f5916735ccac5c
Description-en: multivariate pattern analysis with Python v. 2
PyMVPA eases pattern classification analyses of large datasets, with an
accent on neuroimaging. It provides high-level abstraction of typical
processing steps (e.g. data preparation, classification, feature selection,
generalization testing), a number of implementations of some popular
algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic
Regression), and bindings to external machine learning libraries (libsvm,
shogun).
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While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
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This is a package of PyMVPA v.2. Previously released stable version
is provided by the python-mvpa package.
Description-md5: 250db60801e2a3a86e3ffffca520012e
Homepage: http://www.pymvpa.org
Python-Version: 2.7
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Origin: Ubuntu