python-mvpa2 - multivariate pattern analysis with Python v. 2

Property Value
Distribution Ubuntu 12.04 LTS (Precise Pangolin)
Repository NeuroDebian Main amd64
Package name python-mvpa2
Package version 2.6.0
Package release 1~nd12.04+1
Package architecture all
Package type deb
Installed size 8.59 KB
Download size 5.11 MB
Official Mirror
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,
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
This is a package of PyMVPA v.2.  Previously released stable version
is provided by the python-mvpa package.


Package Version Architecture Repository
python-mvpa2_2.6.0-1~nd12.04+1_all.deb 2.6.0 all NeuroDebian Main
python-mvpa2_2.0.0-6_all.deb 2.0.0 all Ubuntu Universe
python-mvpa2_2.0.0-6_all.deb 2.0.0 all Ubuntu Universe
python-mvpa2 - - -


Name Value
neurodebian-popularity-contest -
python >= 2.7.1-0ubuntu2
python << 2.8
python-mvpa2-lib >= 2.6.0-1~nd12.04+1
python-numpy -
python2.7 -


Name Value
python2.7-mvpa2 -


Type URL
Binary Package python-mvpa2_2.6.0-1~nd12.04+1_all.deb
Source Package pymvpa2

Install Howto

  1. Add the following line to /etc/apt/sources.list:
    deb precise main contrib non-free
  2. Install GPG key of the repository:
    # sudo apt-key adv --recv-keys --keyserver 2649A5A9
  3. Update the package index:
    # sudo apt-get update
  4. Install python-mvpa2 deb package:
    # sudo apt-get install python-mvpa2

See Also

Package Description
python-mvpa_0.4.8-1~nd11.10+1+nd12.04+1_all.deb multivariate pattern analysis with Python
python-neo_0.3.3-1~nd12.04+1_all.deb Python IO library for electrophysiological data formats
python-neuroshare_0.8.5-1~nd11.10+1+nd12.04+1_amd64.deb Python interface and tools for Neuroshare
python-neurosynth_0.3-1~nd12.04+1_all.deb large-scale synthesis of functional neuroimaging data
python-nibabel-doc_2.0.2-1~nd12.04+1_all.deb documentation for NiBabel
python-nibabel_2.0.2-1~nd12.04+1_all.deb Python bindings to various neuroimaging data formats
python-nipy-doc_0.4.1-2~nd12.04+1_all.deb documentation and examples for NiPy
python-nipy-lib_0.4.1-2~nd12.04+1_amd64.deb Analysis of structural and functional neuroimaging data
python-nipy_0.4.1-2~nd12.04+1_all.deb Analysis of structural and functional neuroimaging data
python-nipype-doc_0.10.0-1~nd12.04+1_all.deb Neuroimaging data analysis pipelines in Python -- documentation
python-nipype_0.10.0-1~nd12.04+1_all.deb Neuroimaging data analysis pipelines in Python
python-nitime-doc_0.5-1~nd12.04+1_all.deb timeseries analysis for neuroscience data (nitime) -- documentation
python-nitime_0.5-1~nd12.04+1_all.deb timeseries analysis for neuroscience data (nitime)
python-numpydoc_0.4-1~nd12.04+1_all.deb Sphinx extension to support docstrings in Numpy format
python-openopt_0.38+svn1589-1~nd12.04+1_all.deb Python module for numerical optimization